diff --git a/0000-NASSA-001-TEMPLATE.html b/0000-NASSA-001-TEMPLATE.html
index b239128..53daccd 100644
--- a/0000-NASSA-001-TEMPLATE.html
+++ b/0000-NASSA-001-TEMPLATE.html
@@ -432,8 +432,8 @@ <h4>
 <small><i style="color: darkgrey;">Click on nodes for
 details</i></small>
 </p>
-<div id="htmlwidget-b95e877a2b7eb339dfd8" style="width:100%;height:480px;" class="visNetwork html-widget"></div>
-<script type="application/json" data-for="htmlwidget-b95e877a2b7eb339dfd8">{"x":{"nodes":{"id":[2,3,1],"label":["Parameter/variable/file name in the module.","Variable/object name in the module.",null],"group":["input","output","module"],"title":["<b>Data type:<\/b> Parameter/variable/file type. Use the programming language specific type.<br><b>Description:<\/b> Parameter/variable/file description. Meaning, data structure, or any other relevant information for the procurement and preparation of the input.","<b>Data type:<\/b> Variable/object type. Use the programming language specific type.<br><b>Description:<\/b> Variable/object description. Meaning, data structure, or any other relevant information for data analysis and interpretation or the use of the output as input in another module.",null]},"edges":{"from":[2,1],"to":[1,3]},"nodesToDataframe":true,"edgesToDataframe":true,"options":{"width":"100%","height":"100%","nodes":{"shape":"dot","font":{"size":18},"shadow":true},"manipulation":{"enabled":false},"groups":{"input":{"color":{"border":"black","background":"white"}},"output":{"shape":"diamond","color":{"border":"black","background":"lightgrey"}},"useDefaultGroups":true,"module":{"shape":"hexagon","size":40,"color":{"border":"black","background":"#03989E"}}},"edges":{"arrows":{"to":{"enabled":true,"scaleFactor":1}},"color":{"color":"darkgrey"}},"layout":{"hierarchical":{"enabled":true,"levelSeparation":500,"direction":"LR","sortMethod":"directed"}},"physics":{"stabilization":false},"interaction":{"keyboard":true,"navigationButtons":true,"zoomView":true,"zoomSpeed":0.1}},"groups":["input","output","module"],"width":"100%","height":null,"idselection":{"enabled":false},"byselection":{"enabled":false},"main":null,"submain":null,"footer":null,"background":"rgba(0, 0, 0, 0)","OnceEvents":{"startStabilizing":"function() {this.moveTo({scale:0.7})}"},"tooltipStay":300,"tooltipStyle":"position: fixed;visibility:hidden;padding: 5px;\n         font-family: verdana;font-size:14px;font-color:#000000;background-color: #f5f4ed;\n         -moz-border-radius: 3px;-webkit-border-radius: 3px;border-radius: 3px;\n         border: 1px solid #808074;box-shadow: 3px 3px 10px rgba(0, 0, 0, 0.2);\n         max-width:300px;word-break: normal"},"evals":["OnceEvents.startStabilizing"],"jsHooks":[]}</script>
+<div id="htmlwidget-0623b84a8a5afa10e6cc" style="width:100%;height:480px;" class="visNetwork html-widget"></div>
+<script type="application/json" data-for="htmlwidget-0623b84a8a5afa10e6cc">{"x":{"nodes":{"id":[2,3,1],"label":["Parameter/variable/file name in the module.","Variable/object name in the module.",null],"group":["input","output","module"],"title":["<b>Data type:<\/b> Parameter/variable/file type. Use the programming language specific type.<br><b>Description:<\/b> Parameter/variable/file description. Meaning, data structure, or any other relevant information for the procurement and preparation of the input.","<b>Data type:<\/b> Variable/object type. Use the programming language specific type.<br><b>Description:<\/b> Variable/object description. Meaning, data structure, or any other relevant information for data analysis and interpretation or the use of the output as input in another module.",null]},"edges":{"from":[2,1],"to":[1,3]},"nodesToDataframe":true,"edgesToDataframe":true,"options":{"width":"100%","height":"100%","nodes":{"shape":"dot","font":{"size":18},"shadow":true},"manipulation":{"enabled":false},"groups":{"input":{"color":{"border":"black","background":"white"}},"output":{"shape":"diamond","color":{"border":"black","background":"lightgrey"}},"useDefaultGroups":true,"module":{"shape":"hexagon","size":40,"color":{"border":"black","background":"#03989E"}}},"edges":{"arrows":{"to":{"enabled":true,"scaleFactor":1}},"color":{"color":"darkgrey"}},"layout":{"hierarchical":{"enabled":true,"levelSeparation":500,"direction":"LR","sortMethod":"directed"}},"physics":{"stabilization":false},"interaction":{"keyboard":true,"navigationButtons":true,"zoomView":true,"zoomSpeed":0.1}},"groups":["input","output","module"],"width":"100%","height":null,"idselection":{"enabled":false},"byselection":{"enabled":false},"main":null,"submain":null,"footer":null,"background":"rgba(0, 0, 0, 0)","OnceEvents":{"startStabilizing":"function() {this.moveTo({scale:0.7})}"},"tooltipStay":300,"tooltipStyle":"position: fixed;visibility:hidden;padding: 5px;\n         font-family: verdana;font-size:14px;font-color:#000000;background-color: #f5f4ed;\n         -moz-border-radius: 3px;-webkit-border-radius: 3px;border-radius: 3px;\n         border: 1px solid #808074;box-shadow: 3px 3px 10px rgba(0, 0, 0, 0.2);\n         max-width:300px;word-break: normal"},"evals":["OnceEvents.startStabilizing"],"jsHooks":[]}</script>
 <h4>
 References
 </h4>
diff --git a/1870-Schliemann-001.html b/1870-Schliemann-001.html
index 1007c21..49dc403 100644
--- a/1870-Schliemann-001.html
+++ b/1870-Schliemann-001.html
@@ -433,8 +433,8 @@ <h4>
 <small><i style="color: darkgrey;">Click on nodes for
 details</i></small>
 </p>
-<div id="htmlwidget-a89b9f45ef724e228210" style="width:100%;height:480px;" class="visNetwork html-widget"></div>
-<script type="application/json" data-for="htmlwidget-a89b9f45ef724e228210">{"x":{"nodes":{"id":[2,3,4,5,6,1],"label":["greeks-strength, GREEKS_STRENGTH","trojans-strength, TROJANS_STRENGTH","destruction-rate, DESTRUCTION_RATE","init-troy-health, TROY_HEALTH","troy-health, health, City.health",null],"group":["input","input","input","input","output","module"],"title":["<b>Data type:<\/b> integer<br><b>Description:<\/b> The strength of the Greek army (attackers), measured in number of soldiers, units, etc.","<b>Data type:<\/b> integer<br><b>Description:<\/b> The strength of the Trojan army (defenders), measured in number of soldiers, units, etc.","<b>Data type:<\/b> float<br><b>Description:<\/b> The rate of destruction per unit of attacker strength","<b>Data type:<\/b> float<br><b>Description:<\/b> The general state of the defenders city, measured in population, structures, etc.","<b>Data type:<\/b> float<br><b>Description:<\/b> The general state of the defenders city, measured in population, structures, etc.",null]},"edges":{"from":[2,3,4,5,1],"to":[1,1,1,1,6]},"nodesToDataframe":true,"edgesToDataframe":true,"options":{"width":"100%","height":"100%","nodes":{"shape":"dot","font":{"size":18},"shadow":true},"manipulation":{"enabled":false},"groups":{"input":{"color":{"border":"black","background":"white"}},"output":{"shape":"diamond","color":{"border":"black","background":"lightgrey"}},"useDefaultGroups":true,"module":{"shape":"hexagon","size":40,"color":{"border":"black","background":"#03989E"}}},"edges":{"arrows":{"to":{"enabled":true,"scaleFactor":1}},"color":{"color":"darkgrey"}},"layout":{"hierarchical":{"enabled":true,"levelSeparation":500,"direction":"LR","sortMethod":"directed"}},"physics":{"stabilization":false},"interaction":{"keyboard":true,"navigationButtons":true,"zoomView":true,"zoomSpeed":0.1}},"groups":["input","output","module"],"width":"100%","height":null,"idselection":{"enabled":false},"byselection":{"enabled":false},"main":null,"submain":null,"footer":null,"background":"rgba(0, 0, 0, 0)","OnceEvents":{"startStabilizing":"function() {this.moveTo({scale:0.7})}"},"tooltipStay":300,"tooltipStyle":"position: fixed;visibility:hidden;padding: 5px;\n         font-family: verdana;font-size:14px;font-color:#000000;background-color: #f5f4ed;\n         -moz-border-radius: 3px;-webkit-border-radius: 3px;border-radius: 3px;\n         border: 1px solid #808074;box-shadow: 3px 3px 10px rgba(0, 0, 0, 0.2);\n         max-width:300px;word-break: normal"},"evals":["OnceEvents.startStabilizing"],"jsHooks":[]}</script>
+<div id="htmlwidget-72511f03ec1de5efd99b" style="width:100%;height:480px;" class="visNetwork html-widget"></div>
+<script type="application/json" data-for="htmlwidget-72511f03ec1de5efd99b">{"x":{"nodes":{"id":[2,3,4,5,6,1],"label":["greeks-strength, GREEKS_STRENGTH","trojans-strength, TROJANS_STRENGTH","destruction-rate, DESTRUCTION_RATE","init-troy-health, TROY_HEALTH","troy-health, health, City.health",null],"group":["input","input","input","input","output","module"],"title":["<b>Data type:<\/b> integer<br><b>Description:<\/b> The strength of the Greek army (attackers), measured in number of soldiers, units, etc.","<b>Data type:<\/b> integer<br><b>Description:<\/b> The strength of the Trojan army (defenders), measured in number of soldiers, units, etc.","<b>Data type:<\/b> float<br><b>Description:<\/b> The rate of destruction per unit of attacker strength","<b>Data type:<\/b> float<br><b>Description:<\/b> The general state of the defenders city, measured in population, structures, etc.","<b>Data type:<\/b> float<br><b>Description:<\/b> The general state of the defenders city, measured in population, structures, etc.",null]},"edges":{"from":[2,3,4,5,1],"to":[1,1,1,1,6]},"nodesToDataframe":true,"edgesToDataframe":true,"options":{"width":"100%","height":"100%","nodes":{"shape":"dot","font":{"size":18},"shadow":true},"manipulation":{"enabled":false},"groups":{"input":{"color":{"border":"black","background":"white"}},"output":{"shape":"diamond","color":{"border":"black","background":"lightgrey"}},"useDefaultGroups":true,"module":{"shape":"hexagon","size":40,"color":{"border":"black","background":"#03989E"}}},"edges":{"arrows":{"to":{"enabled":true,"scaleFactor":1}},"color":{"color":"darkgrey"}},"layout":{"hierarchical":{"enabled":true,"levelSeparation":500,"direction":"LR","sortMethod":"directed"}},"physics":{"stabilization":false},"interaction":{"keyboard":true,"navigationButtons":true,"zoomView":true,"zoomSpeed":0.1}},"groups":["input","output","module"],"width":"100%","height":null,"idselection":{"enabled":false},"byselection":{"enabled":false},"main":null,"submain":null,"footer":null,"background":"rgba(0, 0, 0, 0)","OnceEvents":{"startStabilizing":"function() {this.moveTo({scale:0.7})}"},"tooltipStay":300,"tooltipStyle":"position: fixed;visibility:hidden;padding: 5px;\n         font-family: verdana;font-size:14px;font-color:#000000;background-color: #f5f4ed;\n         -moz-border-radius: 3px;-webkit-border-radius: 3px;border-radius: 3px;\n         border: 1px solid #808074;box-shadow: 3px 3px 10px rgba(0, 0, 0, 0.2);\n         max-width:300px;word-break: normal"},"evals":["OnceEvents.startStabilizing"],"jsHooks":[]}</script>
 <h4>
 References
 </h4>
diff --git a/2021-Angourakis-001.html b/2021-Angourakis-001.html
index efde980..c67ffcd 100644
--- a/2021-Angourakis-001.html
+++ b/2021-Angourakis-001.html
@@ -424,8 +424,8 @@ <h4>
 <small><i style="color: darkgrey;">Click on nodes for
 details</i></small>
 </p>
-<div id="htmlwidget-88a75ea7ff6c456230f3" style="width:100%;height:480px;" class="visNetwork html-widget"></div>
-<script type="application/json" data-for="htmlwidget-88a75ea7ff6c456230f3">{"x":{"nodes":{"id":[2,3,4,5,6,7,1],"label":["worldDimensions","angleLeftMax, angleRightMax","moveDistanceMin, moveDistanceMax","(initial) x, y","positionX, positionY","direction",null],"group":["input","input","input","input","output","output","module"],"title":["<b>Data type:<\/b> dictionary (Dict)<br><b>Description:<\/b> The 2D world dimensions or limits. Specifically, the minimum and maximum coordinates in x and y that are considered valid positions in space. It is a dictionary with 'x' and 'y' keys, each associated to a two-item tupple of floats, representing minimum and maximum coordinates; e.g. {'x':(-50,50), 'y':(-50,50)}","<b>Data type:<\/b> float<br><b>Description:<\/b> Left and right angles in relation to an agent current angular direction that mark the maximum range of stochastic variation in direction for a step in a random walks. Both values must be set within the 0-180 interval. If both are set to 180, the direction of the previous step will have no impact on the direction of the next step (i.e. angle will be sampled from a 0-360 degrees interval).","<b>Data type:<\/b> float<br><b>Description:<\/b> Minimum and maximum distance travelled after a step. When moveDistanceMin is less than moveDistanceMax, these mark the maximum range of stochastic variation in distance per step. If these are equal, distance travelled per step will be constant. MoveDistanceMin must be a positive number equal to or less than MoveDistanceMin. MoveDistanceMin must be a positive number equal to or greater than MoveDistanceMin, but less than the maximum world distance set by worldDimensions.","<b>Data type:<\/b> float<br><b>Description:<\/b> Initial x and y coordinates of the agent's position.","<b>Data type:<\/b> float<br><b>Description:<\/b> The agent's position in x and y coordinates within the 2D space set by worldDimensions.","<b>Data type:<\/b> float<br><b>Description:<\/b> The agent's angular direction in degrees.",null]},"edges":{"from":[2,3,4,5,1,1],"to":[1,1,1,1,6,7]},"nodesToDataframe":true,"edgesToDataframe":true,"options":{"width":"100%","height":"100%","nodes":{"shape":"dot","font":{"size":18},"shadow":true},"manipulation":{"enabled":false},"groups":{"input":{"color":{"border":"black","background":"white"}},"output":{"shape":"diamond","color":{"border":"black","background":"lightgrey"}},"useDefaultGroups":true,"module":{"shape":"hexagon","size":40,"color":{"border":"black","background":"#03989E"}}},"edges":{"arrows":{"to":{"enabled":true,"scaleFactor":1}},"color":{"color":"darkgrey"}},"layout":{"hierarchical":{"enabled":true,"levelSeparation":500,"direction":"LR","sortMethod":"directed"}},"physics":{"stabilization":false},"interaction":{"keyboard":true,"navigationButtons":true,"zoomView":true,"zoomSpeed":0.1}},"groups":["input","output","module"],"width":"100%","height":null,"idselection":{"enabled":false},"byselection":{"enabled":false},"main":null,"submain":null,"footer":null,"background":"rgba(0, 0, 0, 0)","OnceEvents":{"startStabilizing":"function() {this.moveTo({scale:0.7})}"},"tooltipStay":300,"tooltipStyle":"position: fixed;visibility:hidden;padding: 5px;\n         font-family: verdana;font-size:14px;font-color:#000000;background-color: #f5f4ed;\n         -moz-border-radius: 3px;-webkit-border-radius: 3px;border-radius: 3px;\n         border: 1px solid #808074;box-shadow: 3px 3px 10px rgba(0, 0, 0, 0.2);\n         max-width:300px;word-break: normal"},"evals":["OnceEvents.startStabilizing"],"jsHooks":[]}</script>
+<div id="htmlwidget-c9ae7861b0c29ff60536" style="width:100%;height:480px;" class="visNetwork html-widget"></div>
+<script type="application/json" data-for="htmlwidget-c9ae7861b0c29ff60536">{"x":{"nodes":{"id":[2,3,4,5,6,7,1],"label":["worldDimensions","angleLeftMax, angleRightMax","moveDistanceMin, moveDistanceMax","(initial) x, y","positionX, positionY","direction",null],"group":["input","input","input","input","output","output","module"],"title":["<b>Data type:<\/b> dictionary (Dict)<br><b>Description:<\/b> The 2D world dimensions or limits. Specifically, the minimum and maximum coordinates in x and y that are considered valid positions in space. It is a dictionary with 'x' and 'y' keys, each associated to a two-item tupple of floats, representing minimum and maximum coordinates; e.g. {'x':(-50,50), 'y':(-50,50)}","<b>Data type:<\/b> float<br><b>Description:<\/b> Left and right angles in relation to an agent current angular direction that mark the maximum range of stochastic variation in direction for a step in a random walks. Both values must be set within the 0-180 interval. If both are set to 180, the direction of the previous step will have no impact on the direction of the next step (i.e. angle will be sampled from a 0-360 degrees interval).","<b>Data type:<\/b> float<br><b>Description:<\/b> Minimum and maximum distance travelled after a step. When moveDistanceMin is less than moveDistanceMax, these mark the maximum range of stochastic variation in distance per step. If these are equal, distance travelled per step will be constant. MoveDistanceMin must be a positive number equal to or less than MoveDistanceMin. MoveDistanceMin must be a positive number equal to or greater than MoveDistanceMin, but less than the maximum world distance set by worldDimensions.","<b>Data type:<\/b> float<br><b>Description:<\/b> Initial x and y coordinates of the agent's position.","<b>Data type:<\/b> float<br><b>Description:<\/b> The agent's position in x and y coordinates within the 2D space set by worldDimensions.","<b>Data type:<\/b> float<br><b>Description:<\/b> The agent's angular direction in degrees.",null]},"edges":{"from":[2,3,4,5,1,1],"to":[1,1,1,1,6,7]},"nodesToDataframe":true,"edgesToDataframe":true,"options":{"width":"100%","height":"100%","nodes":{"shape":"dot","font":{"size":18},"shadow":true},"manipulation":{"enabled":false},"groups":{"input":{"color":{"border":"black","background":"white"}},"output":{"shape":"diamond","color":{"border":"black","background":"lightgrey"}},"useDefaultGroups":true,"module":{"shape":"hexagon","size":40,"color":{"border":"black","background":"#03989E"}}},"edges":{"arrows":{"to":{"enabled":true,"scaleFactor":1}},"color":{"color":"darkgrey"}},"layout":{"hierarchical":{"enabled":true,"levelSeparation":500,"direction":"LR","sortMethod":"directed"}},"physics":{"stabilization":false},"interaction":{"keyboard":true,"navigationButtons":true,"zoomView":true,"zoomSpeed":0.1}},"groups":["input","output","module"],"width":"100%","height":null,"idselection":{"enabled":false},"byselection":{"enabled":false},"main":null,"submain":null,"footer":null,"background":"rgba(0, 0, 0, 0)","OnceEvents":{"startStabilizing":"function() {this.moveTo({scale:0.7})}"},"tooltipStay":300,"tooltipStyle":"position: fixed;visibility:hidden;padding: 5px;\n         font-family: verdana;font-size:14px;font-color:#000000;background-color: #f5f4ed;\n         -moz-border-radius: 3px;-webkit-border-radius: 3px;border-radius: 3px;\n         border: 1px solid #808074;box-shadow: 3px 3px 10px rgba(0, 0, 0, 0.2);\n         max-width:300px;word-break: normal"},"evals":["OnceEvents.startStabilizing"],"jsHooks":[]}</script>
 <h4>
 References
 </h4>
diff --git a/2021-Galan-001.html b/2021-Galan-001.html
index db7bc8f..9fcf36f 100644
--- a/2021-Galan-001.html
+++ b/2021-Galan-001.html
@@ -425,8 +425,8 @@ <h4>
 <small><i style="color: darkgrey;">Click on nodes for
 details</i></small>
 </p>
-<div id="htmlwidget-196be55008347b320143" style="width:100%;height:480px;" class="visNetwork html-widget"></div>
-<script type="application/json" data-for="htmlwidget-196be55008347b320143">{"x":{"nodes":{"id":[2,3,1],"label":["initialX, initialY","trajectory",null],"group":["input","output","module"],"title":["<b>Data type:<\/b> float (numeric)<br><b>Description:<\/b> initial position x and y coordinates.","<b>Data type:<\/b> data frame<br><b>Description:<\/b> A dataframe (tibble in R) with three columns holding numeric variables (named \"steps\", \"X\", and \"Y\") where each row correspond to the index and xy coordinates of a step in a random walk.",null]},"edges":{"from":[2,1],"to":[1,3]},"nodesToDataframe":true,"edgesToDataframe":true,"options":{"width":"100%","height":"100%","nodes":{"shape":"dot","font":{"size":18},"shadow":true},"manipulation":{"enabled":false},"groups":{"input":{"color":{"border":"black","background":"white"}},"output":{"shape":"diamond","color":{"border":"black","background":"lightgrey"}},"useDefaultGroups":true,"module":{"shape":"hexagon","size":40,"color":{"border":"black","background":"#03989E"}}},"edges":{"arrows":{"to":{"enabled":true,"scaleFactor":1}},"color":{"color":"darkgrey"}},"layout":{"hierarchical":{"enabled":true,"levelSeparation":500,"direction":"LR","sortMethod":"directed"}},"physics":{"stabilization":false},"interaction":{"keyboard":true,"navigationButtons":true,"zoomView":true,"zoomSpeed":0.1}},"groups":["input","output","module"],"width":"100%","height":null,"idselection":{"enabled":false},"byselection":{"enabled":false},"main":null,"submain":null,"footer":null,"background":"rgba(0, 0, 0, 0)","OnceEvents":{"startStabilizing":"function() {this.moveTo({scale:0.7})}"},"tooltipStay":300,"tooltipStyle":"position: fixed;visibility:hidden;padding: 5px;\n         font-family: verdana;font-size:14px;font-color:#000000;background-color: #f5f4ed;\n         -moz-border-radius: 3px;-webkit-border-radius: 3px;border-radius: 3px;\n         border: 1px solid #808074;box-shadow: 3px 3px 10px rgba(0, 0, 0, 0.2);\n         max-width:300px;word-break: normal"},"evals":["OnceEvents.startStabilizing"],"jsHooks":[]}</script>
+<div id="htmlwidget-e3ca7a2a434b0a7e3a46" style="width:100%;height:480px;" class="visNetwork html-widget"></div>
+<script type="application/json" data-for="htmlwidget-e3ca7a2a434b0a7e3a46">{"x":{"nodes":{"id":[2,3,1],"label":["initialX, initialY","trajectory",null],"group":["input","output","module"],"title":["<b>Data type:<\/b> float (numeric)<br><b>Description:<\/b> initial position x and y coordinates.","<b>Data type:<\/b> data frame<br><b>Description:<\/b> A dataframe (tibble in R) with three columns holding numeric variables (named \"steps\", \"X\", and \"Y\") where each row correspond to the index and xy coordinates of a step in a random walk.",null]},"edges":{"from":[2,1],"to":[1,3]},"nodesToDataframe":true,"edgesToDataframe":true,"options":{"width":"100%","height":"100%","nodes":{"shape":"dot","font":{"size":18},"shadow":true},"manipulation":{"enabled":false},"groups":{"input":{"color":{"border":"black","background":"white"}},"output":{"shape":"diamond","color":{"border":"black","background":"lightgrey"}},"useDefaultGroups":true,"module":{"shape":"hexagon","size":40,"color":{"border":"black","background":"#03989E"}}},"edges":{"arrows":{"to":{"enabled":true,"scaleFactor":1}},"color":{"color":"darkgrey"}},"layout":{"hierarchical":{"enabled":true,"levelSeparation":500,"direction":"LR","sortMethod":"directed"}},"physics":{"stabilization":false},"interaction":{"keyboard":true,"navigationButtons":true,"zoomView":true,"zoomSpeed":0.1}},"groups":["input","output","module"],"width":"100%","height":null,"idselection":{"enabled":false},"byselection":{"enabled":false},"main":null,"submain":null,"footer":null,"background":"rgba(0, 0, 0, 0)","OnceEvents":{"startStabilizing":"function() {this.moveTo({scale:0.7})}"},"tooltipStay":300,"tooltipStyle":"position: fixed;visibility:hidden;padding: 5px;\n         font-family: verdana;font-size:14px;font-color:#000000;background-color: #f5f4ed;\n         -moz-border-radius: 3px;-webkit-border-radius: 3px;border-radius: 3px;\n         border: 1px solid #808074;box-shadow: 3px 3px 10px rgba(0, 0, 0, 0.2);\n         max-width:300px;word-break: normal"},"evals":["OnceEvents.startStabilizing"],"jsHooks":[]}</script>
 <h4>
 References
 </h4>
diff --git a/2021-Romanowska-001.html b/2021-Romanowska-001.html
index 5792ebe..ad63208 100644
--- a/2021-Romanowska-001.html
+++ b/2021-Romanowska-001.html
@@ -434,8 +434,8 @@ <h4>
 <small><i style="color: darkgrey;">Click on nodes for
 details</i></small>
 </p>
-<div id="htmlwidget-67117e883bcb653b1ca8" style="width:100%;height:480px;" class="visNetwork html-widget"></div>
-<script type="application/json" data-for="htmlwidget-67117e883bcb653b1ca8">{"x":{"nodes":{"id":[2,3,4,1],"label":["(initial) xcor, ycor","walk (name tag of the method to select)","(current) xcor, ycor",null],"group":["input","input","output","module"],"title":["<b>Data type:<\/b> float (absolute position) or integer (patch coordinate)<br><b>Description:<\/b> initial position of the agent (turtle) as x and y coordinates.","<b>Data type:<\/b> string<br><b>Description:<\/b> this input is an intermediate reference to the procedures that perform specific variations of random walk. Therefore, it can be bypassed as an input. Note - there are some values hard-coded inside each procedure that could be used as parameters or variable inputs.","<b>Data type:<\/b> float (absolute position) or integer (patch coordinate)<br><b>Description:<\/b> Current position of the agent (turtle) as x and y coordinates.",null]},"edges":{"from":[2,3,1],"to":[1,1,4]},"nodesToDataframe":true,"edgesToDataframe":true,"options":{"width":"100%","height":"100%","nodes":{"shape":"dot","font":{"size":18},"shadow":true},"manipulation":{"enabled":false},"groups":{"input":{"color":{"border":"black","background":"white"}},"output":{"shape":"diamond","color":{"border":"black","background":"lightgrey"}},"useDefaultGroups":true,"module":{"shape":"hexagon","size":40,"color":{"border":"black","background":"#03989E"}}},"edges":{"arrows":{"to":{"enabled":true,"scaleFactor":1}},"color":{"color":"darkgrey"}},"layout":{"hierarchical":{"enabled":true,"levelSeparation":500,"direction":"LR","sortMethod":"directed"}},"physics":{"stabilization":false},"interaction":{"keyboard":true,"navigationButtons":true,"zoomView":true,"zoomSpeed":0.1}},"groups":["input","output","module"],"width":"100%","height":null,"idselection":{"enabled":false},"byselection":{"enabled":false},"main":null,"submain":null,"footer":null,"background":"rgba(0, 0, 0, 0)","OnceEvents":{"startStabilizing":"function() {this.moveTo({scale:0.7})}"},"tooltipStay":300,"tooltipStyle":"position: fixed;visibility:hidden;padding: 5px;\n         font-family: verdana;font-size:14px;font-color:#000000;background-color: #f5f4ed;\n         -moz-border-radius: 3px;-webkit-border-radius: 3px;border-radius: 3px;\n         border: 1px solid #808074;box-shadow: 3px 3px 10px rgba(0, 0, 0, 0.2);\n         max-width:300px;word-break: normal"},"evals":["OnceEvents.startStabilizing"],"jsHooks":[]}</script>
+<div id="htmlwidget-ac8a27ec6b20150b4d0e" style="width:100%;height:480px;" class="visNetwork html-widget"></div>
+<script type="application/json" data-for="htmlwidget-ac8a27ec6b20150b4d0e">{"x":{"nodes":{"id":[2,3,4,1],"label":["(initial) xcor, ycor","walk (name tag of the method to select)","(current) xcor, ycor",null],"group":["input","input","output","module"],"title":["<b>Data type:<\/b> float (absolute position) or integer (patch coordinate)<br><b>Description:<\/b> initial position of the agent (turtle) as x and y coordinates.","<b>Data type:<\/b> string<br><b>Description:<\/b> this input is an intermediate reference to the procedures that perform specific variations of random walk. Therefore, it can be bypassed as an input. Note - there are some values hard-coded inside each procedure that could be used as parameters or variable inputs.","<b>Data type:<\/b> float (absolute position) or integer (patch coordinate)<br><b>Description:<\/b> Current position of the agent (turtle) as x and y coordinates.",null]},"edges":{"from":[2,3,1],"to":[1,1,4]},"nodesToDataframe":true,"edgesToDataframe":true,"options":{"width":"100%","height":"100%","nodes":{"shape":"dot","font":{"size":18},"shadow":true},"manipulation":{"enabled":false},"groups":{"input":{"color":{"border":"black","background":"white"}},"output":{"shape":"diamond","color":{"border":"black","background":"lightgrey"}},"useDefaultGroups":true,"module":{"shape":"hexagon","size":40,"color":{"border":"black","background":"#03989E"}}},"edges":{"arrows":{"to":{"enabled":true,"scaleFactor":1}},"color":{"color":"darkgrey"}},"layout":{"hierarchical":{"enabled":true,"levelSeparation":500,"direction":"LR","sortMethod":"directed"}},"physics":{"stabilization":false},"interaction":{"keyboard":true,"navigationButtons":true,"zoomView":true,"zoomSpeed":0.1}},"groups":["input","output","module"],"width":"100%","height":null,"idselection":{"enabled":false},"byselection":{"enabled":false},"main":null,"submain":null,"footer":null,"background":"rgba(0, 0, 0, 0)","OnceEvents":{"startStabilizing":"function() {this.moveTo({scale:0.7})}"},"tooltipStay":300,"tooltipStyle":"position: fixed;visibility:hidden;padding: 5px;\n         font-family: verdana;font-size:14px;font-color:#000000;background-color: #f5f4ed;\n         -moz-border-radius: 3px;-webkit-border-radius: 3px;border-radius: 3px;\n         border: 1px solid #808074;box-shadow: 3px 3px 10px rgba(0, 0, 0, 0.2);\n         max-width:300px;word-break: normal"},"evals":["OnceEvents.startStabilizing"],"jsHooks":[]}</script>
 <h4>
 References
 </h4>
diff --git a/2022-Angourakis-001.html b/2022-Angourakis-001.html
index afafa9e..a1312d7 100644
--- a/2022-Angourakis-001.html
+++ b/2022-Angourakis-001.html
@@ -428,8 +428,8 @@ <h4>
 <small><i style="color: darkgrey;">Click on nodes for
 details</i></small>
 </p>
-<div id="htmlwidget-8db436ed5f5921143621" style="width:100%;height:480px;" class="visNetwork html-widget"></div>
-<script type="application/json" data-for="htmlwidget-8db436ed5f5921143621">{"x":{"nodes":{"id":[2,3,4,5,6,7,1],"label":["par_elevation","par_temperature_daily_mean","par_temperature_daily_min, par_temperature_daily_max","par_netSolarRadiation","windSpeed","ETr",null],"group":["input","input","input","input","input","output","module"],"title":["<b>Data type:<\/b> float<br><b>Description:<\/b> elevation above sea level of the soil where the reference evapotranspiration is to be calculated.","<b>Data type:<\/b> float<br><b>Description:<\/b> Mean daily air temperature above the ground surface where the reference evapotranspiration is to be calculated.","<b>Data type:<\/b> float<br><b>Description:<\/b> Minimum and maximum daily air temperature above the ground surface where the reference evapotranspiration is to be calculated.","<b>Data type:<\/b> float<br><b>Description:<\/b> Solar radiation energy received by the soil surface, discounting loss by albedo reflection.","<b>Data type:<\/b> float<br><b>Description:<\/b> Wind speed at 2m above the soil surface (fixed to 2 as constant in code, as per Allen et al. 1998 recommendation in absence of data).","<b>Data type:<\/b> float<br><b>Description:<\/b> The evapotranspiration in millimeters of water per day assuming a reference surface that is not short of water and covered by a hypothetical grass (or alfalfa) reference crop with specific characteristics. It is referenced in the bibliography also as ETo.",null]},"edges":{"from":[2,3,4,5,6,1],"to":[1,1,1,1,1,7]},"nodesToDataframe":true,"edgesToDataframe":true,"options":{"width":"100%","height":"100%","nodes":{"shape":"dot","font":{"size":18},"shadow":true},"manipulation":{"enabled":false},"groups":{"input":{"color":{"border":"black","background":"white"}},"output":{"shape":"diamond","color":{"border":"black","background":"lightgrey"}},"useDefaultGroups":true,"module":{"shape":"hexagon","size":40,"color":{"border":"black","background":"#03989E"}}},"edges":{"arrows":{"to":{"enabled":true,"scaleFactor":1}},"color":{"color":"darkgrey"}},"layout":{"hierarchical":{"enabled":true,"levelSeparation":500,"direction":"LR","sortMethod":"directed"}},"physics":{"stabilization":false},"interaction":{"keyboard":true,"navigationButtons":true,"zoomView":true,"zoomSpeed":0.1}},"groups":["input","output","module"],"width":"100%","height":null,"idselection":{"enabled":false},"byselection":{"enabled":false},"main":null,"submain":null,"footer":null,"background":"rgba(0, 0, 0, 0)","OnceEvents":{"startStabilizing":"function() {this.moveTo({scale:0.7})}"},"tooltipStay":300,"tooltipStyle":"position: fixed;visibility:hidden;padding: 5px;\n         font-family: verdana;font-size:14px;font-color:#000000;background-color: #f5f4ed;\n         -moz-border-radius: 3px;-webkit-border-radius: 3px;border-radius: 3px;\n         border: 1px solid #808074;box-shadow: 3px 3px 10px rgba(0, 0, 0, 0.2);\n         max-width:300px;word-break: normal"},"evals":["OnceEvents.startStabilizing"],"jsHooks":[]}</script>
+<div id="htmlwidget-c0bca0dd38a13dc3efda" style="width:100%;height:480px;" class="visNetwork html-widget"></div>
+<script type="application/json" data-for="htmlwidget-c0bca0dd38a13dc3efda">{"x":{"nodes":{"id":[2,3,4,5,6,7,1],"label":["par_elevation","par_temperature_daily_mean","par_temperature_daily_min, par_temperature_daily_max","par_netSolarRadiation","windSpeed","ETr",null],"group":["input","input","input","input","input","output","module"],"title":["<b>Data type:<\/b> float<br><b>Description:<\/b> elevation above sea level of the soil where the reference evapotranspiration is to be calculated.","<b>Data type:<\/b> float<br><b>Description:<\/b> Mean daily air temperature above the ground surface where the reference evapotranspiration is to be calculated.","<b>Data type:<\/b> float<br><b>Description:<\/b> Minimum and maximum daily air temperature above the ground surface where the reference evapotranspiration is to be calculated.","<b>Data type:<\/b> float<br><b>Description:<\/b> Solar radiation energy received by the soil surface, discounting loss by albedo reflection.","<b>Data type:<\/b> float<br><b>Description:<\/b> Wind speed at 2m above the soil surface (fixed to 2 as constant in code, as per Allen et al. 1998 recommendation in absence of data).","<b>Data type:<\/b> float<br><b>Description:<\/b> The evapotranspiration in millimeters of water per day assuming a reference surface that is not short of water and covered by a hypothetical grass (or alfalfa) reference crop with specific characteristics. It is referenced in the bibliography also as ETo.",null]},"edges":{"from":[2,3,4,5,6,1],"to":[1,1,1,1,1,7]},"nodesToDataframe":true,"edgesToDataframe":true,"options":{"width":"100%","height":"100%","nodes":{"shape":"dot","font":{"size":18},"shadow":true},"manipulation":{"enabled":false},"groups":{"input":{"color":{"border":"black","background":"white"}},"output":{"shape":"diamond","color":{"border":"black","background":"lightgrey"}},"useDefaultGroups":true,"module":{"shape":"hexagon","size":40,"color":{"border":"black","background":"#03989E"}}},"edges":{"arrows":{"to":{"enabled":true,"scaleFactor":1}},"color":{"color":"darkgrey"}},"layout":{"hierarchical":{"enabled":true,"levelSeparation":500,"direction":"LR","sortMethod":"directed"}},"physics":{"stabilization":false},"interaction":{"keyboard":true,"navigationButtons":true,"zoomView":true,"zoomSpeed":0.1}},"groups":["input","output","module"],"width":"100%","height":null,"idselection":{"enabled":false},"byselection":{"enabled":false},"main":null,"submain":null,"footer":null,"background":"rgba(0, 0, 0, 0)","OnceEvents":{"startStabilizing":"function() {this.moveTo({scale:0.7})}"},"tooltipStay":300,"tooltipStyle":"position: fixed;visibility:hidden;padding: 5px;\n         font-family: verdana;font-size:14px;font-color:#000000;background-color: #f5f4ed;\n         -moz-border-radius: 3px;-webkit-border-radius: 3px;border-radius: 3px;\n         border: 1px solid #808074;box-shadow: 3px 3px 10px rgba(0, 0, 0, 0.2);\n         max-width:300px;word-break: normal"},"evals":["OnceEvents.startStabilizing"],"jsHooks":[]}</script>
 <h4>
 References
 </h4>
diff --git a/2022-Brughmans-001.html b/2022-Brughmans-001.html
index 7956f34..b4e42f6 100644
--- a/2022-Brughmans-001.html
+++ b/2022-Brughmans-001.html
@@ -425,8 +425,8 @@ <h4>
 <small><i style="color: darkgrey;">Click on nodes for
 details</i></small>
 </p>
-<div id="htmlwidget-fa0a29a01d506a4b6d1d" style="width:100%;height:480px;" class="visNetwork html-widget"></div>
-<script type="application/json" data-for="htmlwidget-fa0a29a01d506a4b6d1d">{"x":{"nodes":{"id":[2,3,4,5,6,7,8,9,10,11,1],"label":["new-network-structure","nodes","probability","nearest-neighbours","existing-network-structure","Network topology","average-degree","clustering-coefficient","Av. shortest path length","degree distribution",null],"group":["input","input","input","input","input","output","output","output","output","output","module"],"title":["<b>Data type:<\/b> string<br><b>Description:<\/b> The type of network structure you want to create, either small-world, preferential attachment, circular, star, wheel, lattice, random, nearest neighbours","<b>Data type:<\/b> integer<br><b>Description:<\/b> The number of nodes in the network that will be created.","<b>Data type:<\/b> float<br><b>Description:<\/b> Value between 0 and 1, the probability with which a link will be created in the small-world and random network structures.","<b>Data type:<\/b> integer<br><b>Description:<\/b> The number of nearest nodes that a node will be connected to in the \"nearest neighbours\" network structure","<b>Data type:<\/b> string<br><b>Description:<\/b> When keeping the nodes but creating new links between them (same-nodes/new-links), the type of network structure you will follow to create those links. Either nearest neighbour, random, star, circular.","<b>Data type:<\/b> network<br><b>Description:<\/b> The set of nodes and links created using the network creation algorithm selected.","<b>Data type:<\/b> float<br><b>Description:<\/b> the average number of links a node has","<b>Data type:<\/b> float<br><b>Description:<\/b> the proportion of closed triangles over all triads in the network; the degree of local clustering in the network.","<b>Data type:<\/b> float<br><b>Description:<\/b> the mean path length in the network; the mean number of steps to connect one node with another node","<b>Data type:<\/b> frequency distribution<br><b>Description:<\/b> The frequency distribution of the number of links a node has (its degree)",null]},"edges":{"from":[2,3,4,5,6,1,1,1,1,1],"to":[1,1,1,1,1,7,8,9,10,11]},"nodesToDataframe":true,"edgesToDataframe":true,"options":{"width":"100%","height":"100%","nodes":{"shape":"dot","font":{"size":18},"shadow":true},"manipulation":{"enabled":false},"groups":{"input":{"color":{"border":"black","background":"white"}},"output":{"shape":"diamond","color":{"border":"black","background":"lightgrey"}},"useDefaultGroups":true,"module":{"shape":"hexagon","size":40,"color":{"border":"black","background":"#03989E"}}},"edges":{"arrows":{"to":{"enabled":true,"scaleFactor":1}},"color":{"color":"darkgrey"}},"layout":{"hierarchical":{"enabled":true,"levelSeparation":500,"direction":"LR","sortMethod":"directed"}},"physics":{"stabilization":false},"interaction":{"keyboard":true,"navigationButtons":true,"zoomView":true,"zoomSpeed":0.1}},"groups":["input","output","module"],"width":"100%","height":null,"idselection":{"enabled":false},"byselection":{"enabled":false},"main":null,"submain":null,"footer":null,"background":"rgba(0, 0, 0, 0)","OnceEvents":{"startStabilizing":"function() {this.moveTo({scale:0.7})}"},"tooltipStay":300,"tooltipStyle":"position: fixed;visibility:hidden;padding: 5px;\n         font-family: verdana;font-size:14px;font-color:#000000;background-color: #f5f4ed;\n         -moz-border-radius: 3px;-webkit-border-radius: 3px;border-radius: 3px;\n         border: 1px solid #808074;box-shadow: 3px 3px 10px rgba(0, 0, 0, 0.2);\n         max-width:300px;word-break: normal"},"evals":["OnceEvents.startStabilizing"],"jsHooks":[]}</script>
+<div id="htmlwidget-f8554d52062edead5d8c" style="width:100%;height:480px;" class="visNetwork html-widget"></div>
+<script type="application/json" data-for="htmlwidget-f8554d52062edead5d8c">{"x":{"nodes":{"id":[2,3,4,5,6,7,8,9,10,11,1],"label":["new-network-structure","nodes","probability","nearest-neighbours","existing-network-structure","Network topology","average-degree","clustering-coefficient","Av. shortest path length","degree distribution",null],"group":["input","input","input","input","input","output","output","output","output","output","module"],"title":["<b>Data type:<\/b> string<br><b>Description:<\/b> The type of network structure you want to create, either small-world, preferential attachment, circular, star, wheel, lattice, random, nearest neighbours","<b>Data type:<\/b> integer<br><b>Description:<\/b> The number of nodes in the network that will be created.","<b>Data type:<\/b> float<br><b>Description:<\/b> Value between 0 and 1, the probability with which a link will be created in the small-world and random network structures.","<b>Data type:<\/b> integer<br><b>Description:<\/b> The number of nearest nodes that a node will be connected to in the \"nearest neighbours\" network structure","<b>Data type:<\/b> string<br><b>Description:<\/b> When keeping the nodes but creating new links between them (same-nodes/new-links), the type of network structure you will follow to create those links. Either nearest neighbour, random, star, circular.","<b>Data type:<\/b> network<br><b>Description:<\/b> The set of nodes and links created using the network creation algorithm selected.","<b>Data type:<\/b> float<br><b>Description:<\/b> the average number of links a node has","<b>Data type:<\/b> float<br><b>Description:<\/b> the proportion of closed triangles over all triads in the network; the degree of local clustering in the network.","<b>Data type:<\/b> float<br><b>Description:<\/b> the mean path length in the network; the mean number of steps to connect one node with another node","<b>Data type:<\/b> frequency distribution<br><b>Description:<\/b> The frequency distribution of the number of links a node has (its degree)",null]},"edges":{"from":[2,3,4,5,6,1,1,1,1,1],"to":[1,1,1,1,1,7,8,9,10,11]},"nodesToDataframe":true,"edgesToDataframe":true,"options":{"width":"100%","height":"100%","nodes":{"shape":"dot","font":{"size":18},"shadow":true},"manipulation":{"enabled":false},"groups":{"input":{"color":{"border":"black","background":"white"}},"output":{"shape":"diamond","color":{"border":"black","background":"lightgrey"}},"useDefaultGroups":true,"module":{"shape":"hexagon","size":40,"color":{"border":"black","background":"#03989E"}}},"edges":{"arrows":{"to":{"enabled":true,"scaleFactor":1}},"color":{"color":"darkgrey"}},"layout":{"hierarchical":{"enabled":true,"levelSeparation":500,"direction":"LR","sortMethod":"directed"}},"physics":{"stabilization":false},"interaction":{"keyboard":true,"navigationButtons":true,"zoomView":true,"zoomSpeed":0.1}},"groups":["input","output","module"],"width":"100%","height":null,"idselection":{"enabled":false},"byselection":{"enabled":false},"main":null,"submain":null,"footer":null,"background":"rgba(0, 0, 0, 0)","OnceEvents":{"startStabilizing":"function() {this.moveTo({scale:0.7})}"},"tooltipStay":300,"tooltipStyle":"position: fixed;visibility:hidden;padding: 5px;\n         font-family: verdana;font-size:14px;font-color:#000000;background-color: #f5f4ed;\n         -moz-border-radius: 3px;-webkit-border-radius: 3px;border-radius: 3px;\n         border: 1px solid #808074;box-shadow: 3px 3px 10px rgba(0, 0, 0, 0.2);\n         max-width:300px;word-break: normal"},"evals":["OnceEvents.startStabilizing"],"jsHooks":[]}</script>
 <h4>
 References
 </h4>
diff --git a/2022-Brughmans-002.html b/2022-Brughmans-002.html
index 0a895b5..8037c05 100644
--- a/2022-Brughmans-002.html
+++ b/2022-Brughmans-002.html
@@ -433,8 +433,8 @@ <h4>
 <small><i style="color: darkgrey;">Click on nodes for
 details</i></small>
 </p>
-<div id="htmlwidget-fac2c1f3363c5e77968a" style="width:100%;height:480px;" class="visNetwork html-widget"></div>
-<script type="application/json" data-for="htmlwidget-fac2c1f3363c5e77968a">{"x":{"nodes":{"id":[2,3,4,1],"label":["orbis.graphml","Network topology","distance distribution to Rome",null],"group":["input","output","output","module"],"title":["<b>Data type:<\/b> file<br><b>Description:<\/b> available under netlogo_implementation/ . A .graphml file consisting of nodes representing Roman settlements and junctions, and edges representing transport routes. From ORBIS https://purl.stanford.edu/mn425tz9757","<b>Data type:<\/b> network<br><b>Description:<\/b> The set of nodes and links created using the ORBIS .graphml file, and corrected through the model's data-correction procedure.","<b>Data type:<\/b> frequency distribution<br><b>Description:<\/b> The frequency distribution of the distance from all nodes to Rome",null]},"edges":{"from":[2,1,1],"to":[1,3,4]},"nodesToDataframe":true,"edgesToDataframe":true,"options":{"width":"100%","height":"100%","nodes":{"shape":"dot","font":{"size":18},"shadow":true},"manipulation":{"enabled":false},"groups":{"input":{"color":{"border":"black","background":"white"}},"output":{"shape":"diamond","color":{"border":"black","background":"lightgrey"}},"useDefaultGroups":true,"module":{"shape":"hexagon","size":40,"color":{"border":"black","background":"#03989E"}}},"edges":{"arrows":{"to":{"enabled":true,"scaleFactor":1}},"color":{"color":"darkgrey"}},"layout":{"hierarchical":{"enabled":true,"levelSeparation":500,"direction":"LR","sortMethod":"directed"}},"physics":{"stabilization":false},"interaction":{"keyboard":true,"navigationButtons":true,"zoomView":true,"zoomSpeed":0.1}},"groups":["input","output","module"],"width":"100%","height":null,"idselection":{"enabled":false},"byselection":{"enabled":false},"main":null,"submain":null,"footer":null,"background":"rgba(0, 0, 0, 0)","OnceEvents":{"startStabilizing":"function() {this.moveTo({scale:0.7})}"},"tooltipStay":300,"tooltipStyle":"position: fixed;visibility:hidden;padding: 5px;\n         font-family: verdana;font-size:14px;font-color:#000000;background-color: #f5f4ed;\n         -moz-border-radius: 3px;-webkit-border-radius: 3px;border-radius: 3px;\n         border: 1px solid #808074;box-shadow: 3px 3px 10px rgba(0, 0, 0, 0.2);\n         max-width:300px;word-break: normal"},"evals":["OnceEvents.startStabilizing"],"jsHooks":[]}</script>
+<div id="htmlwidget-907ba60344f267dda937" style="width:100%;height:480px;" class="visNetwork html-widget"></div>
+<script type="application/json" data-for="htmlwidget-907ba60344f267dda937">{"x":{"nodes":{"id":[2,3,4,1],"label":["orbis.graphml","Network topology","distance distribution to Rome",null],"group":["input","output","output","module"],"title":["<b>Data type:<\/b> file<br><b>Description:<\/b> available under netlogo_implementation/ . A .graphml file consisting of nodes representing Roman settlements and junctions, and edges representing transport routes. From ORBIS https://purl.stanford.edu/mn425tz9757","<b>Data type:<\/b> network<br><b>Description:<\/b> The set of nodes and links created using the ORBIS .graphml file, and corrected through the model's data-correction procedure.","<b>Data type:<\/b> frequency distribution<br><b>Description:<\/b> The frequency distribution of the distance from all nodes to Rome",null]},"edges":{"from":[2,1,1],"to":[1,3,4]},"nodesToDataframe":true,"edgesToDataframe":true,"options":{"width":"100%","height":"100%","nodes":{"shape":"dot","font":{"size":18},"shadow":true},"manipulation":{"enabled":false},"groups":{"input":{"color":{"border":"black","background":"white"}},"output":{"shape":"diamond","color":{"border":"black","background":"lightgrey"}},"useDefaultGroups":true,"module":{"shape":"hexagon","size":40,"color":{"border":"black","background":"#03989E"}}},"edges":{"arrows":{"to":{"enabled":true,"scaleFactor":1}},"color":{"color":"darkgrey"}},"layout":{"hierarchical":{"enabled":true,"levelSeparation":500,"direction":"LR","sortMethod":"directed"}},"physics":{"stabilization":false},"interaction":{"keyboard":true,"navigationButtons":true,"zoomView":true,"zoomSpeed":0.1}},"groups":["input","output","module"],"width":"100%","height":null,"idselection":{"enabled":false},"byselection":{"enabled":false},"main":null,"submain":null,"footer":null,"background":"rgba(0, 0, 0, 0)","OnceEvents":{"startStabilizing":"function() {this.moveTo({scale:0.7})}"},"tooltipStay":300,"tooltipStyle":"position: fixed;visibility:hidden;padding: 5px;\n         font-family: verdana;font-size:14px;font-color:#000000;background-color: #f5f4ed;\n         -moz-border-radius: 3px;-webkit-border-radius: 3px;border-radius: 3px;\n         border: 1px solid #808074;box-shadow: 3px 3px 10px rgba(0, 0, 0, 0.2);\n         max-width:300px;word-break: normal"},"evals":["OnceEvents.startStabilizing"],"jsHooks":[]}</script>
 <h4>
 References
 </h4>
diff --git a/2022-DAEMS-001.html b/2022-DAEMS-001.html
index 1f4cc01..c9c2d2d 100644
--- a/2022-DAEMS-001.html
+++ b/2022-DAEMS-001.html
@@ -428,8 +428,8 @@ <h4>
 <small><i style="color: darkgrey;">Click on nodes for
 details</i></small>
 </p>
-<div id="htmlwidget-2c1d8fd473bc1e59d60d" style="width:100%;height:480px;" class="visNetwork html-widget"></div>
-<script type="application/json" data-for="htmlwidget-2c1d8fd473bc1e59d60d">{"x":{"nodes":{"id":[2,3,4,5,1],"label":["resource","stock","storage","homebase-storage",null],"group":["input","input","input","output","module"],"title":["<b>Data type:<\/b> integer<br><b>Description:<\/b> Amount of resources per patch","<b>Data type:<\/b> integer<br><b>Description:<\/b> Amount of resources carried by the agent","<b>Data type:<\/b> integer<br><b>Description:<\/b> Amount of resources stored at homebase","<b>Data type:<\/b> integer<br><b>Description:<\/b> Amount of resources stored in the homebase. Tracked as value in a reporter and through plot on the interface",null]},"edges":{"from":[2,3,4,1],"to":[1,1,1,5]},"nodesToDataframe":true,"edgesToDataframe":true,"options":{"width":"100%","height":"100%","nodes":{"shape":"dot","font":{"size":18},"shadow":true},"manipulation":{"enabled":false},"groups":{"input":{"color":{"border":"black","background":"white"}},"output":{"shape":"diamond","color":{"border":"black","background":"lightgrey"}},"useDefaultGroups":true,"module":{"shape":"hexagon","size":40,"color":{"border":"black","background":"#03989E"}}},"edges":{"arrows":{"to":{"enabled":true,"scaleFactor":1}},"color":{"color":"darkgrey"}},"layout":{"hierarchical":{"enabled":true,"levelSeparation":500,"direction":"LR","sortMethod":"directed"}},"physics":{"stabilization":false},"interaction":{"keyboard":true,"navigationButtons":true,"zoomView":true,"zoomSpeed":0.1}},"groups":["input","output","module"],"width":"100%","height":null,"idselection":{"enabled":false},"byselection":{"enabled":false},"main":null,"submain":null,"footer":null,"background":"rgba(0, 0, 0, 0)","OnceEvents":{"startStabilizing":"function() {this.moveTo({scale:0.7})}"},"tooltipStay":300,"tooltipStyle":"position: fixed;visibility:hidden;padding: 5px;\n         font-family: verdana;font-size:14px;font-color:#000000;background-color: #f5f4ed;\n         -moz-border-radius: 3px;-webkit-border-radius: 3px;border-radius: 3px;\n         border: 1px solid #808074;box-shadow: 3px 3px 10px rgba(0, 0, 0, 0.2);\n         max-width:300px;word-break: normal"},"evals":["OnceEvents.startStabilizing"],"jsHooks":[]}</script>
+<div id="htmlwidget-84652462f6df64186e60" style="width:100%;height:480px;" class="visNetwork html-widget"></div>
+<script type="application/json" data-for="htmlwidget-84652462f6df64186e60">{"x":{"nodes":{"id":[2,3,4,5,1],"label":["resource","stock","storage","homebase-storage",null],"group":["input","input","input","output","module"],"title":["<b>Data type:<\/b> integer<br><b>Description:<\/b> Amount of resources per patch","<b>Data type:<\/b> integer<br><b>Description:<\/b> Amount of resources carried by the agent","<b>Data type:<\/b> integer<br><b>Description:<\/b> Amount of resources stored at homebase","<b>Data type:<\/b> integer<br><b>Description:<\/b> Amount of resources stored in the homebase. Tracked as value in a reporter and through plot on the interface",null]},"edges":{"from":[2,3,4,1],"to":[1,1,1,5]},"nodesToDataframe":true,"edgesToDataframe":true,"options":{"width":"100%","height":"100%","nodes":{"shape":"dot","font":{"size":18},"shadow":true},"manipulation":{"enabled":false},"groups":{"input":{"color":{"border":"black","background":"white"}},"output":{"shape":"diamond","color":{"border":"black","background":"lightgrey"}},"useDefaultGroups":true,"module":{"shape":"hexagon","size":40,"color":{"border":"black","background":"#03989E"}}},"edges":{"arrows":{"to":{"enabled":true,"scaleFactor":1}},"color":{"color":"darkgrey"}},"layout":{"hierarchical":{"enabled":true,"levelSeparation":500,"direction":"LR","sortMethod":"directed"}},"physics":{"stabilization":false},"interaction":{"keyboard":true,"navigationButtons":true,"zoomView":true,"zoomSpeed":0.1}},"groups":["input","output","module"],"width":"100%","height":null,"idselection":{"enabled":false},"byselection":{"enabled":false},"main":null,"submain":null,"footer":null,"background":"rgba(0, 0, 0, 0)","OnceEvents":{"startStabilizing":"function() {this.moveTo({scale:0.7})}"},"tooltipStay":300,"tooltipStyle":"position: fixed;visibility:hidden;padding: 5px;\n         font-family: verdana;font-size:14px;font-color:#000000;background-color: #f5f4ed;\n         -moz-border-radius: 3px;-webkit-border-radius: 3px;border-radius: 3px;\n         border: 1px solid #808074;box-shadow: 3px 3px 10px rgba(0, 0, 0, 0.2);\n         max-width:300px;word-break: normal"},"evals":["OnceEvents.startStabilizing"],"jsHooks":[]}</script>
 <h4>
 References
 </h4>
diff --git a/2022-Romanowska-001.html b/2022-Romanowska-001.html
index 544a433..d9b41f7 100644
--- a/2022-Romanowska-001.html
+++ b/2022-Romanowska-001.html
@@ -433,8 +433,8 @@ <h4>
 <small><i style="color: darkgrey;">Click on nodes for
 details</i></small>
 </p>
-<div id="htmlwidget-f42d093ed5371ac85d2e" style="width:100%;height:480px;" class="visNetwork html-widget"></div>
-<script type="application/json" data-for="htmlwidget-f42d093ed5371ac85d2e">{"x":{"nodes":{"id":[2,3,4,5,6,7,1],"label":["map (spatial input data)","numberOfTurtles","inputX","inputY","agents","world",null],"group":["input","input","input","input","output","output","module"],"title":["<b>Data type:<\/b> png/bmp (grid or raster)<br><b>Description:<\/b> image file containing the colour representation of spatial data (e.g. elevation). The example file attached (\"world.png\") was taken from the public repository associated to Romanowska, Wren, & Crabtree 2021 (https://github.com/SantaFeInstitute/ABMA/blob/master/ch1/ch1_map.png).","<b>Data type:<\/b> integer<br><b>Description:<\/b> number of agents (turtles) to be created","<b>Data type:<\/b> integer<br><b>Description:<\/b> x coordinate of the desired/created agents’ location","<b>Data type:<\/b> integer<br><b>Description:<\/b> y coordinate of the desired/created agents’ location","<b>Data type:<\/b> object (agentset)<br><b>Description:<\/b> agents initialised at input location","<b>Data type:<\/b> object (world)<br><b>Description:<\/b> world’s grid initialised with input spatial data",null]},"edges":{"from":[2,3,4,5,1,1],"to":[1,1,1,1,6,7]},"nodesToDataframe":true,"edgesToDataframe":true,"options":{"width":"100%","height":"100%","nodes":{"shape":"dot","font":{"size":18},"shadow":true},"manipulation":{"enabled":false},"groups":{"input":{"color":{"border":"black","background":"white"}},"output":{"shape":"diamond","color":{"border":"black","background":"lightgrey"}},"useDefaultGroups":true,"module":{"shape":"hexagon","size":40,"color":{"border":"black","background":"#03989E"}}},"edges":{"arrows":{"to":{"enabled":true,"scaleFactor":1}},"color":{"color":"darkgrey"}},"layout":{"hierarchical":{"enabled":true,"levelSeparation":500,"direction":"LR","sortMethod":"directed"}},"physics":{"stabilization":false},"interaction":{"keyboard":true,"navigationButtons":true,"zoomView":true,"zoomSpeed":0.1}},"groups":["input","output","module"],"width":"100%","height":null,"idselection":{"enabled":false},"byselection":{"enabled":false},"main":null,"submain":null,"footer":null,"background":"rgba(0, 0, 0, 0)","OnceEvents":{"startStabilizing":"function() {this.moveTo({scale:0.7})}"},"tooltipStay":300,"tooltipStyle":"position: fixed;visibility:hidden;padding: 5px;\n         font-family: verdana;font-size:14px;font-color:#000000;background-color: #f5f4ed;\n         -moz-border-radius: 3px;-webkit-border-radius: 3px;border-radius: 3px;\n         border: 1px solid #808074;box-shadow: 3px 3px 10px rgba(0, 0, 0, 0.2);\n         max-width:300px;word-break: normal"},"evals":["OnceEvents.startStabilizing"],"jsHooks":[]}</script>
+<div id="htmlwidget-5ce46399a51802bda4b5" style="width:100%;height:480px;" class="visNetwork html-widget"></div>
+<script type="application/json" data-for="htmlwidget-5ce46399a51802bda4b5">{"x":{"nodes":{"id":[2,3,4,5,6,7,1],"label":["map (spatial input data)","numberOfTurtles","inputX","inputY","agents","world",null],"group":["input","input","input","input","output","output","module"],"title":["<b>Data type:<\/b> png/bmp (grid or raster)<br><b>Description:<\/b> image file containing the colour representation of spatial data (e.g. elevation). The example file attached (\"world.png\") was taken from the public repository associated to Romanowska, Wren, & Crabtree 2021 (https://github.com/SantaFeInstitute/ABMA/blob/master/ch1/ch1_map.png).","<b>Data type:<\/b> integer<br><b>Description:<\/b> number of agents (turtles) to be created","<b>Data type:<\/b> integer<br><b>Description:<\/b> x coordinate of the desired/created agents’ location","<b>Data type:<\/b> integer<br><b>Description:<\/b> y coordinate of the desired/created agents’ location","<b>Data type:<\/b> object (agentset)<br><b>Description:<\/b> agents initialised at input location","<b>Data type:<\/b> object (world)<br><b>Description:<\/b> world’s grid initialised with input spatial data",null]},"edges":{"from":[2,3,4,5,1,1],"to":[1,1,1,1,6,7]},"nodesToDataframe":true,"edgesToDataframe":true,"options":{"width":"100%","height":"100%","nodes":{"shape":"dot","font":{"size":18},"shadow":true},"manipulation":{"enabled":false},"groups":{"input":{"color":{"border":"black","background":"white"}},"output":{"shape":"diamond","color":{"border":"black","background":"lightgrey"}},"useDefaultGroups":true,"module":{"shape":"hexagon","size":40,"color":{"border":"black","background":"#03989E"}}},"edges":{"arrows":{"to":{"enabled":true,"scaleFactor":1}},"color":{"color":"darkgrey"}},"layout":{"hierarchical":{"enabled":true,"levelSeparation":500,"direction":"LR","sortMethod":"directed"}},"physics":{"stabilization":false},"interaction":{"keyboard":true,"navigationButtons":true,"zoomView":true,"zoomSpeed":0.1}},"groups":["input","output","module"],"width":"100%","height":null,"idselection":{"enabled":false},"byselection":{"enabled":false},"main":null,"submain":null,"footer":null,"background":"rgba(0, 0, 0, 0)","OnceEvents":{"startStabilizing":"function() {this.moveTo({scale:0.7})}"},"tooltipStay":300,"tooltipStyle":"position: fixed;visibility:hidden;padding: 5px;\n         font-family: verdana;font-size:14px;font-color:#000000;background-color: #f5f4ed;\n         -moz-border-radius: 3px;-webkit-border-radius: 3px;border-radius: 3px;\n         border: 1px solid #808074;box-shadow: 3px 3px 10px rgba(0, 0, 0, 0.2);\n         max-width:300px;word-break: normal"},"evals":["OnceEvents.startStabilizing"],"jsHooks":[]}</script>
 <h4>
 References
 </h4>
diff --git a/2022-Romanowska-002.html b/2022-Romanowska-002.html
index e83531c..4051ca3 100644
--- a/2022-Romanowska-002.html
+++ b/2022-Romanowska-002.html
@@ -437,8 +437,8 @@ <h4>
 <small><i style="color: darkgrey;">Click on nodes for
 details</i></small>
 </p>
-<div id="htmlwidget-574b03c5eed35c96916c" style="width:100%;height:480px;" class="visNetwork html-widget"></div>
-<script type="application/json" data-for="htmlwidget-574b03c5eed35c96916c">{"x":{"nodes":{"id":[2,3,4,5,6,7,8,9,10,11,1],"label":["map (input spatial data)","number-turtles","inputX","inputY","maxInitialDistanceFromPoint","numberOfTurtles","pop_growth","world","agents","tickcounter",null],"group":["input","input","input","input","input","input","input","output","output","output","module"],"title":["<b>Data type:<\/b> png/bmp (grid or raster)<br><b>Description:<\/b> image file containing the colour representation of spatial data differentiating land and sea. The sea must be represented in white. The example file attached (\"world.png\") was taken from the public repository associated to Romanowska, Wren, & Crabtree 2021 (https://github.com/SantaFeInstitute/ABMA/blob/master/ch1/ch1_map.png).","<b>Data type:<\/b> integer<br><b>Description:<\/b> number of agents to be created and placed in the 2D array (the world)","<b>Data type:<\/b> integer<br><b>Description:<\/b> initial x coordinate of the center of the region where agents are created in initialisation","<b>Data type:<\/b> integer<br><b>Description:<\/b> initial y coordinate of the center of the region where agents are created in initialisation","<b>Data type:<\/b> integer<br><b>Description:<\/b> maximum distance from input point where agents are created in initialisation","<b>Data type:<\/b> integer<br><b>Description:<\/b> number of agents to be created and placed in the 2D array (the world)","<b>Data type:<\/b> float<br><b>Description:<\/b> probability of an agent reproducing once each time step. Value set through slider in interface (0 - 1, 0.05 increment).","<b>Data type:<\/b> object (world)<br><b>Description:<\/b> world’s grid initialised with input spatial data","<b>Data type:<\/b> object (agentset)<br><b>Description:<\/b> agents positioned over land patches (grid cells) with a particular colour as a proxy of their lineage.","<b>Data type:<\/b> integer<br><b>Description:<\/b> simulation time step counter",null]},"edges":{"from":[2,3,4,5,6,7,8,1,1,1],"to":[1,1,1,1,1,1,1,9,10,11]},"nodesToDataframe":true,"edgesToDataframe":true,"options":{"width":"100%","height":"100%","nodes":{"shape":"dot","font":{"size":20},"shadow":true},"manipulation":{"enabled":false},"groups":{"input":{"color":{"border":"black","background":"white"}},"output":{"shape":"diamond","color":{"border":"black","background":"lightgrey"}},"useDefaultGroups":true,"module":{"shape":"hexagon","size":40,"color":{"border":"black","background":"#03989E"}}},"edges":{"arrows":{"to":{"enabled":true,"scaleFactor":1}},"color":{"color":"darkgrey"}},"layout":{"hierarchical":{"enabled":true,"levelSeparation":500,"direction":"LR","sortMethod":"directed"}},"physics":{"stabilization":false},"interaction":{"keyboard":true,"navigationButtons":true,"zoomView":true,"zoomSpeed":0.1}},"groups":["input","output","module"],"width":"100%","height":null,"idselection":{"enabled":false},"byselection":{"enabled":false},"main":null,"submain":null,"footer":null,"background":"rgba(0, 0, 0, 0)","OnceEvents":{"startStabilizing":"function() {this.moveTo({scale:0.5})}"},"tooltipStay":300,"tooltipStyle":"position: fixed;visibility:hidden;padding: 5px;\n         font-family: verdana;font-size:14px;font-color:#000000;background-color: #f5f4ed;\n         -moz-border-radius: 3px;-webkit-border-radius: 3px;border-radius: 3px;\n         border: 1px solid #808074;box-shadow: 3px 3px 10px rgba(0, 0, 0, 0.2);\n         max-width:300px;word-break: normal"},"evals":["OnceEvents.startStabilizing"],"jsHooks":[]}</script>
+<div id="htmlwidget-af499ce7d873d60b2030" style="width:100%;height:480px;" class="visNetwork html-widget"></div>
+<script type="application/json" data-for="htmlwidget-af499ce7d873d60b2030">{"x":{"nodes":{"id":[2,3,4,5,6,7,8,9,10,11,1],"label":["map (input spatial data)","number-turtles","inputX","inputY","maxInitialDistanceFromPoint","numberOfTurtles","pop_growth","world","agents","tickcounter",null],"group":["input","input","input","input","input","input","input","output","output","output","module"],"title":["<b>Data type:<\/b> png/bmp (grid or raster)<br><b>Description:<\/b> image file containing the colour representation of spatial data differentiating land and sea. The sea must be represented in white. The example file attached (\"world.png\") was taken from the public repository associated to Romanowska, Wren, & Crabtree 2021 (https://github.com/SantaFeInstitute/ABMA/blob/master/ch1/ch1_map.png).","<b>Data type:<\/b> integer<br><b>Description:<\/b> number of agents to be created and placed in the 2D array (the world)","<b>Data type:<\/b> integer<br><b>Description:<\/b> initial x coordinate of the center of the region where agents are created in initialisation","<b>Data type:<\/b> integer<br><b>Description:<\/b> initial y coordinate of the center of the region where agents are created in initialisation","<b>Data type:<\/b> integer<br><b>Description:<\/b> maximum distance from input point where agents are created in initialisation","<b>Data type:<\/b> integer<br><b>Description:<\/b> number of agents to be created and placed in the 2D array (the world)","<b>Data type:<\/b> float<br><b>Description:<\/b> probability of an agent reproducing once each time step. Value set through slider in interface (0 - 1, 0.05 increment).","<b>Data type:<\/b> object (world)<br><b>Description:<\/b> world’s grid initialised with input spatial data","<b>Data type:<\/b> object (agentset)<br><b>Description:<\/b> agents positioned over land patches (grid cells) with a particular colour as a proxy of their lineage.","<b>Data type:<\/b> integer<br><b>Description:<\/b> simulation time step counter",null]},"edges":{"from":[2,3,4,5,6,7,8,1,1,1],"to":[1,1,1,1,1,1,1,9,10,11]},"nodesToDataframe":true,"edgesToDataframe":true,"options":{"width":"100%","height":"100%","nodes":{"shape":"dot","font":{"size":20},"shadow":true},"manipulation":{"enabled":false},"groups":{"input":{"color":{"border":"black","background":"white"}},"output":{"shape":"diamond","color":{"border":"black","background":"lightgrey"}},"useDefaultGroups":true,"module":{"shape":"hexagon","size":40,"color":{"border":"black","background":"#03989E"}}},"edges":{"arrows":{"to":{"enabled":true,"scaleFactor":1}},"color":{"color":"darkgrey"}},"layout":{"hierarchical":{"enabled":true,"levelSeparation":500,"direction":"LR","sortMethod":"directed"}},"physics":{"stabilization":false},"interaction":{"keyboard":true,"navigationButtons":true,"zoomView":true,"zoomSpeed":0.1}},"groups":["input","output","module"],"width":"100%","height":null,"idselection":{"enabled":false},"byselection":{"enabled":false},"main":null,"submain":null,"footer":null,"background":"rgba(0, 0, 0, 0)","OnceEvents":{"startStabilizing":"function() {this.moveTo({scale:0.5})}"},"tooltipStay":300,"tooltipStyle":"position: fixed;visibility:hidden;padding: 5px;\n         font-family: verdana;font-size:14px;font-color:#000000;background-color: #f5f4ed;\n         -moz-border-radius: 3px;-webkit-border-radius: 3px;border-radius: 3px;\n         border: 1px solid #808074;box-shadow: 3px 3px 10px rgba(0, 0, 0, 0.2);\n         max-width:300px;word-break: normal"},"evals":["OnceEvents.startStabilizing"],"jsHooks":[]}</script>
 <h4>
 References
 </h4>
diff --git a/2022-Vlach-001.html b/2022-Vlach-001.html
index 54012bb..386af53 100644
--- a/2022-Vlach-001.html
+++ b/2022-Vlach-001.html
@@ -434,8 +434,8 @@ <h4>
 <small><i style="color: darkgrey;">Click on nodes for
 details</i></small>
 </p>
-<div id="htmlwidget-9b7ba92eacde3a6250c7" style="width:100%;height:480px;" class="visNetwork html-widget"></div>
-<script type="application/json" data-for="htmlwidget-9b7ba92eacde3a6250c7">{"x":{"nodes":{"id":[2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,1],"label":["seed","initial-households","population-coefficient","initial-clusters","cluster-radius-min, cluster-radius-max","search-radius","max-connections","initial-infected","max-daily-contacts","duration-latent-mean, duration-latent-stddev","duration-prodromal-mean, duration-prodromal-stddev","duration-contagious-mean, duration-contagious-stddev","mortality-rate","transmission-prob-range1-mean, transmission-prob-range1-stddev","transmission-prob-range2-mean, transmission-prob-range2-stddev","transmission-prob-range3-mean, transmission-prob-range3-stddev","transmission-prob-range4-mean, transmission-prob-range4-stddev","range1-search-radius-share, range2-search-radius-share, range3-search-radius-share, range4-search-radius-share","range1-initial-connections-share, range2-initial-connections-share, range3-initial-connections-share, range4-initial-connections-share","pos-spread","neg-spread","count-spread","count-daily-contact","count-daily-transmission","count-daily-transmission-pers","nw-betcen","nw-eigcen","nw-clocen","nw-clucoe","nw-mod",null],"group":["input","input","input","input","input","input","input","input","input","input","input","input","input","input","input","input","input","input","input","output","output","output","output","output","output","output","output","output","output","output","module"],"title":["<b>Data type:<\/b> integer<br><b>Description:<\/b> random generator seed number used as `random-seed seed`.","<b>Data type:<\/b> integer<br><b>Description:<\/b> initial count of households.","<b>Data type:<\/b> integer<br><b>Description:<\/b> household size variance coefficient (mean of exponential distribution).","<b>Data type:<\/b> integer<br><b>Description:<\/b> initial count of clusters/settlements.","<b>Data type:<\/b> integer<br><b>Description:<\/b> minimum/maximum cluster radius used to sample a random cluster radius from an uniform distribution, as `in-radius (min-cluster-radius + (random max-cluster-radius))`.","<b>Data type:<\/b> integer<br><b>Description:<\/b> maximum search distance to establish links.","<b>Data type:<\/b> integer<br><b>Description:<\/b> maximum number of connections (links) per distance range.","<b>Data type:<\/b> integer<br><b>Description:<\/b> number of initial cases or people agents initialised with the \"incubation\" stage and a stochastic state of stage 1 counter.","<b>Data type:<\/b> integer<br><b>Description:<\/b> maximum number of connections to be considered contacts each day.","<b>Data type:<\/b> float<br><b>Description:<\/b> Mean and standard deviation of duration of the latent stage of the disease, used in `random-normal duration-latent-mean duration-latent-stddev`.","<b>Data type:<\/b> float<br><b>Description:<\/b> Mean and standard deviation of duration of the prodromal stage of the disease, used in `random-normal duration-prodromal-mean duration-prodromal-stddev`.","<b>Data type:<\/b> float<br><b>Description:<\/b> Mean and standard deviation of duration of the contagious stage of the disease, used in `random-normal duration-contagious-mean duration-contagious-stddev`.","<b>Data type:<\/b> float<br><b>Description:<\/b> Average mortality rate applied to all individuals (`people`) in the population.","<b>Data type:<\/b> float<br><b>Description:<\/b> Mean and standard deviation of transmission probability towards people within range 1 (search-radius * 0.125), used in `random-normal transmission-prob-range1-mean transmission-prob-range1-stddev`.","<b>Data type:<\/b> float<br><b>Description:<\/b> Mean and standard deviation of transmission probability towards people within range 2 (search-radius * 0.25), used in `random-normal transmission-prob-range2-mean transmission-prob-range2-stddev`.","<b>Data type:<\/b> float<br><b>Description:<\/b> Mean and standard deviation of transmission probability towards people within range 3 (search-radius * 0.5), used in `random-normal transmission-prob-range3-mean transmission-prob-range3-stddev`.","<b>Data type:<\/b> float<br><b>Description:<\/b> Mean and standard deviation of transmission probability towards people within range 4 (search-radius), used in `random-normal transmission-prob-range4-mean transmission-prob-range4-stddev`.","<b>Data type:<\/b> float<br><b>Description:<\/b> the proportion of `search-radius` effective for each transmission range.","<b>Data type:<\/b> float<br><b>Description:<\/b> the proportion of `max-connections` from which a random sample is taken as initial contacts of the infected people for each distance range.","<b>Data type:<\/b> integer<br><b>Description:<\/b> Count of positive disease transmission encounter of an individual (passed to other person)","<b>Data type:<\/b> integer<br><b>Description:<\/b> Count of negative disease transmission encounter of an individual (not passed to other person)","<b>Data type:<\/b> integer<br><b>Description:<\/b> Cumulative number of daily contacts","<b>Data type:<\/b> integer<br><b>Description:<\/b> Sum of all daily contacts for the actual day (reset each day)","<b>Data type:<\/b> integer<br><b>Description:<\/b> Sum of all daily disease transmission encounter for the actual day (reset each day)","<b>Data type:<\/b> integer<br><b>Description:<\/b> Number of people with the potential to performing a disease transmission encounter for the actual day (reset each day)","<b>Data type:<\/b> float<br><b>Description:<\/b> Network metrics':' betweenness centrality","<b>Data type:<\/b> float<br><b>Description:<\/b> Network metrics':' eigenvector centrality","<b>Data type:<\/b> float<br><b>Description:<\/b> Network metrics':' closeness centrality","<b>Data type:<\/b> float<br><b>Description:<\/b> Network metrics':' clustering coefficient","<b>Data type:<\/b> float<br><b>Description:<\/b> Network metrics':' modularity",null]},"edges":{"from":[2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,1,1,1,1,1,1,1,1,1,1,1],"to":[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,21,22,23,24,25,26,27,28,29,30,31]},"nodesToDataframe":true,"edgesToDataframe":true,"options":{"width":"100%","height":"100%","nodes":{"shape":"dot","font":{"size":32},"shadow":true},"manipulation":{"enabled":false},"groups":{"input":{"color":{"border":"black","background":"white"}},"output":{"shape":"diamond","color":{"border":"black","background":"lightgrey"}},"useDefaultGroups":true,"module":{"shape":"hexagon","size":40,"color":{"border":"black","background":"#03989E"}}},"edges":{"arrows":{"to":{"enabled":true,"scaleFactor":1}},"color":{"color":"darkgrey"}},"layout":{"hierarchical":{"enabled":true,"levelSeparation":500,"direction":"LR","sortMethod":"directed"}},"physics":{"stabilization":false},"interaction":{"keyboard":true,"navigationButtons":true,"zoomView":true,"zoomSpeed":0.1}},"groups":["input","output","module"],"width":"100%","height":null,"idselection":{"enabled":false},"byselection":{"enabled":false},"main":null,"submain":null,"footer":null,"background":"rgba(0, 0, 0, 0)","OnceEvents":{"startStabilizing":"function() {this.moveTo({scale:-0.7})}"},"tooltipStay":300,"tooltipStyle":"position: fixed;visibility:hidden;padding: 5px;\n         font-family: verdana;font-size:14px;font-color:#000000;background-color: #f5f4ed;\n         -moz-border-radius: 3px;-webkit-border-radius: 3px;border-radius: 3px;\n         border: 1px solid #808074;box-shadow: 3px 3px 10px rgba(0, 0, 0, 0.2);\n         max-width:300px;word-break: normal"},"evals":["OnceEvents.startStabilizing"],"jsHooks":[]}</script>
+<div id="htmlwidget-e14821f54c7b70f8e405" style="width:100%;height:480px;" class="visNetwork html-widget"></div>
+<script type="application/json" data-for="htmlwidget-e14821f54c7b70f8e405">{"x":{"nodes":{"id":[2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,1],"label":["seed","initial-households","population-coefficient","initial-clusters","cluster-radius-min, cluster-radius-max","search-radius","max-connections","initial-infected","max-daily-contacts","duration-latent-mean, duration-latent-stddev","duration-prodromal-mean, duration-prodromal-stddev","duration-contagious-mean, duration-contagious-stddev","mortality-rate","transmission-prob-range1-mean, transmission-prob-range1-stddev","transmission-prob-range2-mean, transmission-prob-range2-stddev","transmission-prob-range3-mean, transmission-prob-range3-stddev","transmission-prob-range4-mean, transmission-prob-range4-stddev","range1-search-radius-share, range2-search-radius-share, range3-search-radius-share, range4-search-radius-share","range1-initial-connections-share, range2-initial-connections-share, range3-initial-connections-share, range4-initial-connections-share","pos-spread","neg-spread","count-spread","count-daily-contact","count-daily-transmission","count-daily-transmission-pers","nw-betcen","nw-eigcen","nw-clocen","nw-clucoe","nw-mod",null],"group":["input","input","input","input","input","input","input","input","input","input","input","input","input","input","input","input","input","input","input","output","output","output","output","output","output","output","output","output","output","output","module"],"title":["<b>Data type:<\/b> integer<br><b>Description:<\/b> random generator seed number used as `random-seed seed`.","<b>Data type:<\/b> integer<br><b>Description:<\/b> initial count of households.","<b>Data type:<\/b> integer<br><b>Description:<\/b> household size variance coefficient (mean of exponential distribution).","<b>Data type:<\/b> integer<br><b>Description:<\/b> initial count of clusters/settlements.","<b>Data type:<\/b> integer<br><b>Description:<\/b> minimum/maximum cluster radius used to sample a random cluster radius from an uniform distribution, as `in-radius (min-cluster-radius + (random max-cluster-radius))`.","<b>Data type:<\/b> integer<br><b>Description:<\/b> maximum search distance to establish links.","<b>Data type:<\/b> integer<br><b>Description:<\/b> maximum number of connections (links) per distance range.","<b>Data type:<\/b> integer<br><b>Description:<\/b> number of initial cases or people agents initialised with the \"incubation\" stage and a stochastic state of stage 1 counter.","<b>Data type:<\/b> integer<br><b>Description:<\/b> maximum number of connections to be considered contacts each day.","<b>Data type:<\/b> float<br><b>Description:<\/b> Mean and standard deviation of duration of the latent stage of the disease, used in `random-normal duration-latent-mean duration-latent-stddev`.","<b>Data type:<\/b> float<br><b>Description:<\/b> Mean and standard deviation of duration of the prodromal stage of the disease, used in `random-normal duration-prodromal-mean duration-prodromal-stddev`.","<b>Data type:<\/b> float<br><b>Description:<\/b> Mean and standard deviation of duration of the contagious stage of the disease, used in `random-normal duration-contagious-mean duration-contagious-stddev`.","<b>Data type:<\/b> float<br><b>Description:<\/b> Average mortality rate applied to all individuals (`people`) in the population.","<b>Data type:<\/b> float<br><b>Description:<\/b> Mean and standard deviation of transmission probability towards people within range 1 (search-radius * 0.125), used in `random-normal transmission-prob-range1-mean transmission-prob-range1-stddev`.","<b>Data type:<\/b> float<br><b>Description:<\/b> Mean and standard deviation of transmission probability towards people within range 2 (search-radius * 0.25), used in `random-normal transmission-prob-range2-mean transmission-prob-range2-stddev`.","<b>Data type:<\/b> float<br><b>Description:<\/b> Mean and standard deviation of transmission probability towards people within range 3 (search-radius * 0.5), used in `random-normal transmission-prob-range3-mean transmission-prob-range3-stddev`.","<b>Data type:<\/b> float<br><b>Description:<\/b> Mean and standard deviation of transmission probability towards people within range 4 (search-radius), used in `random-normal transmission-prob-range4-mean transmission-prob-range4-stddev`.","<b>Data type:<\/b> float<br><b>Description:<\/b> the proportion of `search-radius` effective for each transmission range.","<b>Data type:<\/b> float<br><b>Description:<\/b> the proportion of `max-connections` from which a random sample is taken as initial contacts of the infected people for each distance range.","<b>Data type:<\/b> integer<br><b>Description:<\/b> Count of positive disease transmission encounter of an individual (passed to other person)","<b>Data type:<\/b> integer<br><b>Description:<\/b> Count of negative disease transmission encounter of an individual (not passed to other person)","<b>Data type:<\/b> integer<br><b>Description:<\/b> Cumulative number of daily contacts","<b>Data type:<\/b> integer<br><b>Description:<\/b> Sum of all daily contacts for the actual day (reset each day)","<b>Data type:<\/b> integer<br><b>Description:<\/b> Sum of all daily disease transmission encounter for the actual day (reset each day)","<b>Data type:<\/b> integer<br><b>Description:<\/b> Number of people with the potential to performing a disease transmission encounter for the actual day (reset each day)","<b>Data type:<\/b> float<br><b>Description:<\/b> Network metrics':' betweenness centrality","<b>Data type:<\/b> float<br><b>Description:<\/b> Network metrics':' eigenvector centrality","<b>Data type:<\/b> float<br><b>Description:<\/b> Network metrics':' closeness centrality","<b>Data type:<\/b> float<br><b>Description:<\/b> Network metrics':' clustering coefficient","<b>Data type:<\/b> float<br><b>Description:<\/b> Network metrics':' modularity",null]},"edges":{"from":[2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,1,1,1,1,1,1,1,1,1,1,1],"to":[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,21,22,23,24,25,26,27,28,29,30,31]},"nodesToDataframe":true,"edgesToDataframe":true,"options":{"width":"100%","height":"100%","nodes":{"shape":"dot","font":{"size":32},"shadow":true},"manipulation":{"enabled":false},"groups":{"input":{"color":{"border":"black","background":"white"}},"output":{"shape":"diamond","color":{"border":"black","background":"lightgrey"}},"useDefaultGroups":true,"module":{"shape":"hexagon","size":40,"color":{"border":"black","background":"#03989E"}}},"edges":{"arrows":{"to":{"enabled":true,"scaleFactor":1}},"color":{"color":"darkgrey"}},"layout":{"hierarchical":{"enabled":true,"levelSeparation":500,"direction":"LR","sortMethod":"directed"}},"physics":{"stabilization":false},"interaction":{"keyboard":true,"navigationButtons":true,"zoomView":true,"zoomSpeed":0.1}},"groups":["input","output","module"],"width":"100%","height":null,"idselection":{"enabled":false},"byselection":{"enabled":false},"main":null,"submain":null,"footer":null,"background":"rgba(0, 0, 0, 0)","OnceEvents":{"startStabilizing":"function() {this.moveTo({scale:-0.7})}"},"tooltipStay":300,"tooltipStyle":"position: fixed;visibility:hidden;padding: 5px;\n         font-family: verdana;font-size:14px;font-color:#000000;background-color: #f5f4ed;\n         -moz-border-radius: 3px;-webkit-border-radius: 3px;border-radius: 3px;\n         border: 1px solid #808074;box-shadow: 3px 3px 10px rgba(0, 0, 0, 0.2);\n         max-width:300px;word-break: normal"},"evals":["OnceEvents.startStabilizing"],"jsHooks":[]}</script>
 <h4>
 References
 </h4>
diff --git a/index.html b/index.html
index fb0fadd..1e1fd2b 100644
--- a/index.html
+++ b/index.html
@@ -311,7 +311,7 @@ <h1 class="title toc-ignore">NASSA Library</h1>
 <h1 class="pageTitle">
 NASSA Library Web App
 </h1>
-<i style="text-align:right; color:grey;">Last update: 23/08/24</i>
+<i style="text-align:right; color:grey;">Last update: 04/10/24</i>
 </td>
 <td style="text-align:right;">
 <img src='images/NASSA-logo.png' width='300px' alt='NASSA-logo'>
@@ -319,8 +319,8 @@ <h1 class="pageTitle">
 </tr>
 </table>
 <div id="nassa_table_container">
-<div class="datatables html-widget html-fill-item" id="htmlwidget-ff87eb4efc48aa9ee862" style="width:100%;height:auto;"></div>
-<script type="application/json" data-for="htmlwidget-ff87eb4efc48aa9ee862">{"x":{"filter":"none","vertical":false,"data":[["<a href=\"0000-NASSA-001-TEMPLATE.html\"><i class='fa fa-right-to-bracket'><\/i><\/a>","<a href=\"1870-Schliemann-001.html\"><i class='fa fa-right-to-bracket'><\/i><\/a>","<a href=\"2021-Angourakis-001.html\"><i class='fa fa-right-to-bracket'><\/i><\/a>","<a href=\"2021-Galan-001.html\"><i class='fa fa-right-to-bracket'><\/i><\/a>","<a href=\"2021-Romanowska-001.html\"><i class='fa fa-right-to-bracket'><\/i><\/a>","<a href=\"2022-Angourakis-001.html\"><i class='fa fa-right-to-bracket'><\/i><\/a>","<a href=\"2022-Brughmans-001.html\"><i class='fa fa-right-to-bracket'><\/i><\/a>","<a href=\"2022-Brughmans-002.html\"><i class='fa fa-right-to-bracket'><\/i><\/a>","<a href=\"2022-DAEMS-001.html\"><i class='fa fa-right-to-bracket'><\/i><\/a>","<a href=\"2022-Romanowska-001.html\"><i class='fa fa-right-to-bracket'><\/i><\/a>","<a href=\"2022-Romanowska-002.html\"><i class='fa fa-right-to-bracket'><\/i><\/a>","<a href=\"2022-Verhagen-001.html\"><i class='fa fa-right-to-bracket'><\/i><\/a>","<a href=\"2022-Vlach-001.html\"><i class='fa fa-right-to-bracket'><\/i><\/a>"],["(TEMPLATE) Module name or title including a useful description of module. Max. 100 characters.","(DUMMY EXAMPLE) TroyDestroy. Bronze Age siege and its destructive effect on settlement","Random walk in 2D space based on agent angle orientation and step distance","Random walk in data frames","Pedestrian random walk in NetLogo (ch2.1)","Reference evapotranspiration based on FAO-56 Penman-Monteith method","Network structures","Importing a Roman Transport network","Resource exploitation procedure","Multiple agent placement in specific geographical location","Out of Africa dispersal - Conditional isotropic diffusion","Determine fertility rates for use in a demographic simulation.","Epidemic Network"],["Surname, Name (with no accent marks, first upper-case letters, and surname matching the id and root directory name)","Schliemann, Heinrich; Angourakis, Andreas","Angourakis, Andreas","Galan, Jose M.; Angourakis, Andreas","Romanowska, Iza; Wren, Colin D.; Cabtree, Stefani A.; Angourakis, Andreas","Angourakis, Andreas","Brughmans, Tom","Brughmans, Tom","Daems, Dries","Romanowska, Iza; Wren, Colin D.; Cabtree, Stefani A.; Boogers, Stef; Angourakis, Andreas","Romanowska, Iza; Wren, Colin D.; Cabtree, Stefani A.; Angourakis, Andreas","Verhagen, Philip","Vlach, Marek; Angourakis, Andreas"],["1.0.0","1.0.0","1.0.1","1.0.1","1.0.1","1.0.1","1.0.1","1.0.1","1.0.1","1.0.1","1.0.1","1.0.1","1.0.1"],["1983-04-18","1871-10-20","2022-09-22","2022-09-07","2022-09-07","2022-09-21","2022-12-02","2022-12-02","2022-12-02","2022-02-01","2022-02-01","2022-12-02","2022-09-07"],["<span class=\"badge\" id=\"badgeModuleType\" data-keyword=\"Algorithm\"> Algorithm <\/span> <span class=\"badge\" id=\"badgeLanguage\" data-keyword=\"NetLogo\"> NetLogo <\/span> <br> <span class=\"badge\" id=\"badgeRegions\" data-keyword=\"Global\"> Global <\/span> <span class=\"badge\" id=\"badgePeriods\" data-keyword=\"Palaeolithic\"> Palaeolithic <\/span> <span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"diffusion\"> diffusion <\/span> <span class=\"badge\" id=\"badgeModelling\" data-keyword=\"agent initialisation\"> agent initialisation <\/span>&nbsp;<span class=\"badge\" id=\"badgeModelling\" data-keyword=\"grid initialisation\"> grid initialisation <\/span>&nbsp;<span class=\"badge\" id=\"badgeModelling\" data-keyword=\"time initialisation\"> time initialisation <\/span> <span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Functional\"> Functional <\/span>&nbsp;<span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Point-free style\"> Point-free style <\/span>","<span class=\"badge\" id=\"badgeModuleType\" data-keyword=\"Algorithm\"> Algorithm <\/span> <span class=\"badge\" id=\"badgeLanguage\" data-keyword=\"NetLogo\"> NetLogo <\/span> <br> <span class=\"badge\" id=\"badgeRegions\" data-keyword=\"Global\"> Global <\/span>&nbsp;<span class=\"badge\" id=\"badgeRegions\" data-keyword=\"Eastern Mediterranean\"> Eastern Mediterranean <\/span> <span class=\"badge\" id=\"badgePeriods\" data-keyword=\"Bronze Age\"> Bronze Age <\/span>&nbsp;<span class=\"badge\" id=\"badgePeriods\" data-keyword=\"Mycenaean\"> Mycenaean <\/span> <span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"war\"> war <\/span> <span class=\"badge\" id=\"badgeModelling\" data-keyword=\"agent\"> agent <\/span>&nbsp;<span class=\"badge\" id=\"badgeModelling\" data-keyword=\"calculation\"> calculation <\/span> <span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Functional\"> Functional <\/span>&nbsp;<span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Object-oriented\"> Object-oriented <\/span>","<span class=\"badge\" id=\"badgeModuleType\" data-keyword=\"Algorithm\"> Algorithm <\/span> <span class=\"badge\" id=\"badgeLanguage\" data-keyword=\"Python\"> Python <\/span> <br>   <span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"random walk\"> random walk <\/span> <span class=\"badge\" id=\"badgeModelling\" data-keyword=\"agent behaviour (self)\"> agent behaviour (self) <\/span> <span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Object-oriented\"> Object-oriented <\/span>&nbsp;<span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Nondeterministic\"> Nondeterministic <\/span>","<span class=\"badge\" id=\"badgeModuleType\" data-keyword=\"Algorithm\"> Algorithm <\/span> <span class=\"badge\" id=\"badgeLanguage\" data-keyword=\"R\"> R <\/span> <br>   <span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"random walk\"> random walk <\/span> <span class=\"badge\" id=\"badgeModelling\" data-keyword=\"agent behaviour (self)\"> agent behaviour (self) <\/span> <span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Functional\"> Functional <\/span>&nbsp;<span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Nondeterministic\"> Nondeterministic <\/span>","<span class=\"badge\" id=\"badgeModuleType\" data-keyword=\"Algorithm\"> Algorithm <\/span> <span class=\"badge\" id=\"badgeLanguage\" data-keyword=\"NetLogo\"> NetLogo <\/span> <br>   <span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"random walk\"> random walk <\/span> <span class=\"badge\" id=\"badgeModelling\" data-keyword=\"agent initialisation\"> agent initialisation <\/span>&nbsp;<span class=\"badge\" id=\"badgeModelling\" data-keyword=\"agent behaviour (self)\"> agent behaviour (self) <\/span> <span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Object-oriented\"> Object-oriented <\/span>&nbsp;<span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Nondeterministic\"> Nondeterministic <\/span>","<span class=\"badge\" id=\"badgeModuleType\" data-keyword=\"Algorithm\"> Algorithm <\/span> <span class=\"badge\" id=\"badgeLanguage\" data-keyword=\"NetLogo\"> NetLogo <\/span> <br>   <span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"soil\"> soil <\/span>&nbsp;<span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"vegetation\"> vegetation <\/span>&nbsp;<span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"weather\"> weather <\/span>&nbsp;<span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"agriculture\"> agriculture <\/span> <span class=\"badge\" id=\"badgeModelling\" data-keyword=\"grid variables\"> grid variables <\/span>&nbsp;<span class=\"badge\" id=\"badgeModelling\" data-keyword=\"grid behaviour (self)\"> grid behaviour (self) <\/span> <span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Functional\"> Functional <\/span>","<span class=\"badge\" id=\"badgeModuleType\" data-keyword=\"Submodel\"> Submodel <\/span> <span class=\"badge\" id=\"badgeLanguage\" data-keyword=\"NetLogo\"> NetLogo <\/span> <br> <span class=\"badge\" id=\"badgeRegions\" data-keyword=\"Global\"> Global <\/span> <span class=\"badge\" id=\"badgePeriods\" data-keyword=\"Prehistory\"> Prehistory <\/span>&nbsp;<span class=\"badge\" id=\"badgePeriods\" data-keyword=\"History\"> History <\/span> <span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"Networks\"> Networks <\/span>&nbsp;<span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"Social networks\"> Social networks <\/span> <span class=\"badge\" id=\"badgeModelling\" data-keyword=\"agent initialisation\"> agent initialisation <\/span> <span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Object-oriented\"> Object-oriented <\/span>","<span class=\"badge\" id=\"badgeModuleType\" data-keyword=\"Submodel\"> Submodel <\/span> <span class=\"badge\" id=\"badgeLanguage\" data-keyword=\"NetLogo\"> NetLogo <\/span> <br> <span class=\"badge\" id=\"badgeRegions\" data-keyword=\"Mediterranean\"> Mediterranean <\/span>&nbsp;<span class=\"badge\" id=\"badgeRegions\" data-keyword=\"Europe\"> Europe <\/span>&nbsp;<span class=\"badge\" id=\"badgeRegions\" data-keyword=\"Middle East\"> Middle East <\/span>&nbsp;<span class=\"badge\" id=\"badgeRegions\" data-keyword=\"North Africa\"> North Africa <\/span> <span class=\"badge\" id=\"badgePeriods\" data-keyword=\"Roman Empire\"> Roman Empire <\/span> <span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"Networks\"> Networks <\/span>&nbsp;<span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"Social networks\"> Social networks <\/span>&nbsp;<span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"Transport networks\"> Transport networks <\/span>&nbsp;<span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"Movement\"> Movement <\/span>&nbsp;<span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"Trade\"> Trade <\/span>&nbsp;<span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"Economics\"> Economics <\/span> <span class=\"badge\" id=\"badgeModelling\" data-keyword=\"agent initialisation\"> agent initialisation <\/span>&nbsp;<span class=\"badge\" id=\"badgeModelling\" data-keyword=\"world initialisation\"> world initialisation <\/span> <span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Object-oriented\"> Object-oriented <\/span>","<span class=\"badge\" id=\"badgeModuleType\" data-keyword=\"Algorithm\"> Algorithm <\/span> <span class=\"badge\" id=\"badgeLanguage\" data-keyword=\"NetLogo\"> NetLogo <\/span> <br> <span class=\"badge\" id=\"badgeRegions\" data-keyword=\"Global\"> Global <\/span> <span class=\"badge\" id=\"badgePeriods\" data-keyword=\"Global\"> Global <\/span> <span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"resources\"> resources <\/span>&nbsp;<span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"exploitation\"> exploitation <\/span>&nbsp;<span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"human-environment interactions\"> human-environment interactions <\/span> <span class=\"badge\" id=\"badgeModelling\" data-keyword=\"agent initialisation\"> agent initialisation <\/span>&nbsp;<span class=\"badge\" id=\"badgeModelling\" data-keyword=\"variable initialisation\"> variable initialisation <\/span>&nbsp;<span class=\"badge\" id=\"badgeModelling\" data-keyword=\"agent variables\"> agent variables <\/span>&nbsp;<span class=\"badge\" id=\"badgeModelling\" data-keyword=\"agent behaviour (self)\"> agent behaviour (self) <\/span> <span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Object-oriented\"> Object-oriented <\/span>","<span class=\"badge\" id=\"badgeModuleType\" data-keyword=\"Algorithm\"> Algorithm <\/span> <span class=\"badge\" id=\"badgeLanguage\" data-keyword=\"NetLogo\"> NetLogo <\/span> <br>    <span class=\"badge\" id=\"badgeModelling\" data-keyword=\"initialisation\"> initialisation <\/span> <span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Object-oriented\"> Object-oriented <\/span>","<span class=\"badge\" id=\"badgeModuleType\" data-keyword=\"Submodel\"> Submodel <\/span> <span class=\"badge\" id=\"badgeLanguage\" data-keyword=\"NetLogo\"> NetLogo <\/span> <br> <span class=\"badge\" id=\"badgeRegions\" data-keyword=\"Global\"> Global <\/span> <span class=\"badge\" id=\"badgePeriods\" data-keyword=\"Palaeolithic\"> Palaeolithic <\/span> <span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"diffusion\"> diffusion <\/span>&nbsp;<span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"dispersal\"> dispersal <\/span>&nbsp;<span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"colonisation\"> colonisation <\/span> <span class=\"badge\" id=\"badgeModelling\" data-keyword=\"initialisation\"> initialisation <\/span>&nbsp;<span class=\"badge\" id=\"badgeModelling\" data-keyword=\"run-time\"> run-time <\/span> <span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Object-oriented\"> Object-oriented <\/span>&nbsp;<span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Nondeterministic\"> Nondeterministic <\/span>","<span class=\"badge\" id=\"badgeModuleType\" data-keyword=\"Algorithm\"> Algorithm <\/span> <span class=\"badge\" id=\"badgeLanguage\" data-keyword=\"NetLogo\"> NetLogo <\/span> <br>  <span class=\"badge\" id=\"badgePeriods\" data-keyword=\"Roman period\"> Roman period <\/span>&nbsp;<span class=\"badge\" id=\"badgePeriods\" data-keyword=\"Modern period\"> Modern period <\/span> <span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"demography\"> demography <\/span>&nbsp;<span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"fertility\"> fertility <\/span> <span class=\"badge\" id=\"badgeModelling\" data-keyword=\"parameter initialisation\"> parameter initialisation <\/span> <span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Functional\"> Functional <\/span>&nbsp;<span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Object-Oriented\"> Object-Oriented <\/span>","<span class=\"badge\" id=\"badgeModuleType\" data-keyword=\"Submodel\"> Submodel <\/span> <span class=\"badge\" id=\"badgeLanguage\" data-keyword=\"NetLogo\"> NetLogo <\/span> <br> <span class=\"badge\" id=\"badgeRegions\" data-keyword=\"Global\"> Global <\/span>&nbsp;<span class=\"badge\" id=\"badgeRegions\" data-keyword=\"European\"> European <\/span> <span class=\"badge\" id=\"badgePeriods\" data-keyword=\"Undifferentiated\"> Undifferentiated <\/span>&nbsp;<span class=\"badge\" id=\"badgePeriods\" data-keyword=\"Pre-modern\"> Pre-modern <\/span> <span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"demography\"> demography <\/span>&nbsp;<span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"household\"> household <\/span>&nbsp;<span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"epidemics\"> epidemics <\/span>&nbsp;<span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"networks\"> networks <\/span> <span class=\"badge\" id=\"badgeModelling\" data-keyword=\"initialisation\"> initialisation <\/span>&nbsp;<span class=\"badge\" id=\"badgeModelling\" data-keyword=\"run-time\"> run-time <\/span> <span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Object-oriented\"> Object-oriented <\/span>&nbsp;<span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Nondeterministic\"> Nondeterministic <\/span>"]],"container":"<table class=\"display\">\n  <thead>\n    <tr>\n      <th><\/th>\n      <th>Title<\/th>\n      <th>Contributors<\/th>\n      <th>Version<\/th>\n      <th>Last update<\/th>\n      <th>Keywords<\/th>\n    <\/tr>\n  <\/thead>\n<\/table>","options":{"pageLength":25,"language":{"search":"Search by Last update, Contributors, Title or keyword:"},"search":{"regex":true},"initComplete":"function(settings, json) {\n$(this.api().table().header()).css({'background-color': '#03989e'});\n}","fixedHeader":{"header":true},"columnDefs":[{"targets":[3,3],"orderable":false},{"targets":[0,0],"searchable":false},{"name":"View","targets":0},{"name":"title","targets":1},{"name":"contributors","targets":2},{"name":"moduleVersion","targets":3},{"name":"lastUpdateDate","targets":4},{"name":"Keywords","targets":5}],"order":[],"autoWidth":false,"orderClasses":false,"rowCallback":"function(row, data, displayNum, displayIndex, dataIndex) {\nvar value=data[4]; $(this.api().cell(row, 4).node()).css({'width':'100px'});\nvar value=data[3]; $(this.api().cell(row, 3).node()).css({'text-align':'center','column-width':'50px'});\nvar value=data[0]; $(this.api().cell(row, 0).node()).css({'text-align':'center','vertical-align':'middle','column-width':'50px','font-size':'200%'});\nvar value=data[-1]; $(row).css({'color':$.inArray(dataIndex + 1, [1]) >= 0 ? \"grey\" : null,'font-style':$.inArray(dataIndex + 1, [1]) >= 0 ? \"italic\" : null});\n}"}},"evals":["options.initComplete","options.rowCallback"],"jsHooks":[]}</script>
+<div class="datatables html-widget html-fill-item" id="htmlwidget-c5a90f59b71a54bf12e7" style="width:100%;height:auto;"></div>
+<script type="application/json" data-for="htmlwidget-c5a90f59b71a54bf12e7">{"x":{"filter":"none","vertical":false,"data":[["<a href=\"0000-NASSA-001-TEMPLATE.html\"><i class='fa fa-right-to-bracket'><\/i><\/a>","<a href=\"1870-Schliemann-001.html\"><i class='fa fa-right-to-bracket'><\/i><\/a>","<a href=\"2021-Angourakis-001.html\"><i class='fa fa-right-to-bracket'><\/i><\/a>","<a href=\"2021-Galan-001.html\"><i class='fa fa-right-to-bracket'><\/i><\/a>","<a href=\"2021-Romanowska-001.html\"><i class='fa fa-right-to-bracket'><\/i><\/a>","<a href=\"2022-Angourakis-001.html\"><i class='fa fa-right-to-bracket'><\/i><\/a>","<a href=\"2022-Brughmans-001.html\"><i class='fa fa-right-to-bracket'><\/i><\/a>","<a href=\"2022-Brughmans-002.html\"><i class='fa fa-right-to-bracket'><\/i><\/a>","<a href=\"2022-DAEMS-001.html\"><i class='fa fa-right-to-bracket'><\/i><\/a>","<a href=\"2022-Romanowska-001.html\"><i class='fa fa-right-to-bracket'><\/i><\/a>","<a href=\"2022-Romanowska-002.html\"><i class='fa fa-right-to-bracket'><\/i><\/a>","<a href=\"2022-Verhagen-001.html\"><i class='fa fa-right-to-bracket'><\/i><\/a>","<a href=\"2022-Vlach-001.html\"><i class='fa fa-right-to-bracket'><\/i><\/a>"],["(TEMPLATE) Module name or title including a useful description of module. Max. 100 characters.","(DUMMY EXAMPLE) TroyDestroy. Bronze Age siege and its destructive effect on settlement","Random walk in 2D space based on agent angle orientation and step distance","Random walk in data frames","Pedestrian random walk in NetLogo (ch2.1)","Reference evapotranspiration based on FAO-56 Penman-Monteith method","Network structures","Importing a Roman Transport network","Resource exploitation procedure","Multiple agent placement in specific geographical location","Out of Africa dispersal - Conditional isotropic diffusion","Determine fertility rates for use in a demographic simulation.","Epidemic Network"],["Surname, Name (with no accent marks, first upper-case letters, and surname matching the id and root directory name)","Schliemann, Heinrich; Angourakis, Andreas","Angourakis, Andreas","Galan, Jose M.; Angourakis, Andreas","Romanowska, Iza; Wren, Colin D.; Cabtree, Stefani A.; Angourakis, Andreas","Angourakis, Andreas","Brughmans, Tom","Brughmans, Tom","Daems, Dries","Romanowska, Iza; Wren, Colin D.; Cabtree, Stefani A.; Boogers, Stef; Angourakis, Andreas","Romanowska, Iza; Wren, Colin D.; Cabtree, Stefani A.; Angourakis, Andreas","Verhagen, Philip","Vlach, Marek; Angourakis, Andreas"],["1.0.0","1.0.0","1.0.1","1.0.1","1.0.1","1.0.1","1.0.1","1.0.1","1.0.1","1.0.1","1.0.1","1.0.1","1.0.1"],["1983-04-18","1871-10-20","2022-09-22","2022-09-07","2022-09-07","2022-09-21","2022-12-02","2022-12-02","2022-12-02","2022-02-01","2022-02-01","2022-12-02","2022-09-07"],["<span class=\"badge\" id=\"badgeModuleType\" data-keyword=\"Algorithm\"> Algorithm <\/span> <span class=\"badge\" id=\"badgeLanguage\" data-keyword=\"NetLogo\"> NetLogo <\/span> <br> <span class=\"badge\" id=\"badgeRegions\" data-keyword=\"Global\"> Global <\/span> <span class=\"badge\" id=\"badgePeriods\" data-keyword=\"Palaeolithic\"> Palaeolithic <\/span> <span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"diffusion\"> diffusion <\/span> <span class=\"badge\" id=\"badgeModelling\" data-keyword=\"agent initialisation\"> agent initialisation <\/span>&nbsp;<span class=\"badge\" id=\"badgeModelling\" data-keyword=\"grid initialisation\"> grid initialisation <\/span>&nbsp;<span class=\"badge\" id=\"badgeModelling\" data-keyword=\"time initialisation\"> time initialisation <\/span> <span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Functional\"> Functional <\/span>&nbsp;<span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Point-free style\"> Point-free style <\/span>","<span class=\"badge\" id=\"badgeModuleType\" data-keyword=\"Algorithm\"> Algorithm <\/span> <span class=\"badge\" id=\"badgeLanguage\" data-keyword=\"NetLogo\"> NetLogo <\/span> <br> <span class=\"badge\" id=\"badgeRegions\" data-keyword=\"Global\"> Global <\/span>&nbsp;<span class=\"badge\" id=\"badgeRegions\" data-keyword=\"Eastern Mediterranean\"> Eastern Mediterranean <\/span> <span class=\"badge\" id=\"badgePeriods\" data-keyword=\"Bronze Age\"> Bronze Age <\/span>&nbsp;<span class=\"badge\" id=\"badgePeriods\" data-keyword=\"Mycenaean\"> Mycenaean <\/span> <span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"war\"> war <\/span> <span class=\"badge\" id=\"badgeModelling\" data-keyword=\"agent\"> agent <\/span>&nbsp;<span class=\"badge\" id=\"badgeModelling\" data-keyword=\"calculation\"> calculation <\/span> <span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Functional\"> Functional <\/span>&nbsp;<span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Object-oriented\"> Object-oriented <\/span>","<span class=\"badge\" id=\"badgeModuleType\" data-keyword=\"Algorithm\"> Algorithm <\/span> <span class=\"badge\" id=\"badgeLanguage\" data-keyword=\"Python\"> Python <\/span> <br>   <span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"random walk\"> random walk <\/span> <span class=\"badge\" id=\"badgeModelling\" data-keyword=\"agent behaviour (self)\"> agent behaviour (self) <\/span> <span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Object-oriented\"> Object-oriented <\/span>&nbsp;<span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Nondeterministic\"> Nondeterministic <\/span>","<span class=\"badge\" id=\"badgeModuleType\" data-keyword=\"Algorithm\"> Algorithm <\/span> <span class=\"badge\" id=\"badgeLanguage\" data-keyword=\"R\"> R <\/span> <br>   <span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"random walk\"> random walk <\/span> <span class=\"badge\" id=\"badgeModelling\" data-keyword=\"agent behaviour (self)\"> agent behaviour (self) <\/span> <span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Functional\"> Functional <\/span>&nbsp;<span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Nondeterministic\"> Nondeterministic <\/span>","<span class=\"badge\" id=\"badgeModuleType\" data-keyword=\"Algorithm\"> Algorithm <\/span> <span class=\"badge\" id=\"badgeLanguage\" data-keyword=\"NetLogo\"> NetLogo <\/span> <br>   <span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"random walk\"> random walk <\/span> <span class=\"badge\" id=\"badgeModelling\" data-keyword=\"agent initialisation\"> agent initialisation <\/span>&nbsp;<span class=\"badge\" id=\"badgeModelling\" data-keyword=\"agent behaviour (self)\"> agent behaviour (self) <\/span> <span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Object-oriented\"> Object-oriented <\/span>&nbsp;<span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Nondeterministic\"> Nondeterministic <\/span>","<span class=\"badge\" id=\"badgeModuleType\" data-keyword=\"Algorithm\"> Algorithm <\/span> <span class=\"badge\" id=\"badgeLanguage\" data-keyword=\"NetLogo\"> NetLogo <\/span> <br>   <span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"soil\"> soil <\/span>&nbsp;<span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"vegetation\"> vegetation <\/span>&nbsp;<span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"weather\"> weather <\/span>&nbsp;<span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"agriculture\"> agriculture <\/span> <span class=\"badge\" id=\"badgeModelling\" data-keyword=\"grid variables\"> grid variables <\/span>&nbsp;<span class=\"badge\" id=\"badgeModelling\" data-keyword=\"grid behaviour (self)\"> grid behaviour (self) <\/span> <span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Functional\"> Functional <\/span>","<span class=\"badge\" id=\"badgeModuleType\" data-keyword=\"Submodel\"> Submodel <\/span> <span class=\"badge\" id=\"badgeLanguage\" data-keyword=\"NetLogo\"> NetLogo <\/span> <br> <span class=\"badge\" id=\"badgeRegions\" data-keyword=\"Global\"> Global <\/span> <span class=\"badge\" id=\"badgePeriods\" data-keyword=\"Prehistory\"> Prehistory <\/span>&nbsp;<span class=\"badge\" id=\"badgePeriods\" data-keyword=\"History\"> History <\/span> <span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"Networks\"> Networks <\/span>&nbsp;<span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"Social networks\"> Social networks <\/span> <span class=\"badge\" id=\"badgeModelling\" data-keyword=\"agent initialisation\"> agent initialisation <\/span> <span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Object-oriented\"> Object-oriented <\/span>","<span class=\"badge\" id=\"badgeModuleType\" data-keyword=\"Submodel\"> Submodel <\/span> <span class=\"badge\" id=\"badgeLanguage\" data-keyword=\"NetLogo\"> NetLogo <\/span> <br> <span class=\"badge\" id=\"badgeRegions\" data-keyword=\"Mediterranean\"> Mediterranean <\/span>&nbsp;<span class=\"badge\" id=\"badgeRegions\" data-keyword=\"Europe\"> Europe <\/span>&nbsp;<span class=\"badge\" id=\"badgeRegions\" data-keyword=\"Middle East\"> Middle East <\/span>&nbsp;<span class=\"badge\" id=\"badgeRegions\" data-keyword=\"North Africa\"> North Africa <\/span> <span class=\"badge\" id=\"badgePeriods\" data-keyword=\"Roman Empire\"> Roman Empire <\/span> <span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"Networks\"> Networks <\/span>&nbsp;<span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"Social networks\"> Social networks <\/span>&nbsp;<span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"Transport networks\"> Transport networks <\/span>&nbsp;<span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"Movement\"> Movement <\/span>&nbsp;<span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"Trade\"> Trade <\/span>&nbsp;<span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"Economics\"> Economics <\/span> <span class=\"badge\" id=\"badgeModelling\" data-keyword=\"agent initialisation\"> agent initialisation <\/span>&nbsp;<span class=\"badge\" id=\"badgeModelling\" data-keyword=\"world initialisation\"> world initialisation <\/span> <span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Object-oriented\"> Object-oriented <\/span>","<span class=\"badge\" id=\"badgeModuleType\" data-keyword=\"Algorithm\"> Algorithm <\/span> <span class=\"badge\" id=\"badgeLanguage\" data-keyword=\"NetLogo\"> NetLogo <\/span> <br> <span class=\"badge\" id=\"badgeRegions\" data-keyword=\"Global\"> Global <\/span> <span class=\"badge\" id=\"badgePeriods\" data-keyword=\"Global\"> Global <\/span> <span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"resources\"> resources <\/span>&nbsp;<span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"exploitation\"> exploitation <\/span>&nbsp;<span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"human-environment interactions\"> human-environment interactions <\/span> <span class=\"badge\" id=\"badgeModelling\" data-keyword=\"agent initialisation\"> agent initialisation <\/span>&nbsp;<span class=\"badge\" id=\"badgeModelling\" data-keyword=\"variable initialisation\"> variable initialisation <\/span>&nbsp;<span class=\"badge\" id=\"badgeModelling\" data-keyword=\"agent variables\"> agent variables <\/span>&nbsp;<span class=\"badge\" id=\"badgeModelling\" data-keyword=\"agent behaviour (self)\"> agent behaviour (self) <\/span> <span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Object-oriented\"> Object-oriented <\/span>","<span class=\"badge\" id=\"badgeModuleType\" data-keyword=\"Algorithm\"> Algorithm <\/span> <span class=\"badge\" id=\"badgeLanguage\" data-keyword=\"NetLogo\"> NetLogo <\/span> <br>    <span class=\"badge\" id=\"badgeModelling\" data-keyword=\"initialisation\"> initialisation <\/span> <span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Object-oriented\"> Object-oriented <\/span>","<span class=\"badge\" id=\"badgeModuleType\" data-keyword=\"Submodel\"> Submodel <\/span> <span class=\"badge\" id=\"badgeLanguage\" data-keyword=\"NetLogo\"> NetLogo <\/span> <br> <span class=\"badge\" id=\"badgeRegions\" data-keyword=\"Global\"> Global <\/span> <span class=\"badge\" id=\"badgePeriods\" data-keyword=\"Palaeolithic\"> Palaeolithic <\/span> <span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"diffusion\"> diffusion <\/span>&nbsp;<span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"dispersal\"> dispersal <\/span>&nbsp;<span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"colonisation\"> colonisation <\/span> <span class=\"badge\" id=\"badgeModelling\" data-keyword=\"initialisation\"> initialisation <\/span>&nbsp;<span class=\"badge\" id=\"badgeModelling\" data-keyword=\"run-time\"> run-time <\/span> <span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Object-oriented\"> Object-oriented <\/span>&nbsp;<span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Nondeterministic\"> Nondeterministic <\/span>","<span class=\"badge\" id=\"badgeModuleType\" data-keyword=\"Algorithm\"> Algorithm <\/span> <span class=\"badge\" id=\"badgeLanguage\" data-keyword=\"NetLogo\"> NetLogo <\/span> <br>  <span class=\"badge\" id=\"badgePeriods\" data-keyword=\"Roman period\"> Roman period <\/span>&nbsp;<span class=\"badge\" id=\"badgePeriods\" data-keyword=\"Modern period\"> Modern period <\/span> <span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"demography\"> demography <\/span>&nbsp;<span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"fertility\"> fertility <\/span> <span class=\"badge\" id=\"badgeModelling\" data-keyword=\"parameter initialisation\"> parameter initialisation <\/span> <span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Functional\"> Functional <\/span>&nbsp;<span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Object-Oriented\"> Object-Oriented <\/span>","<span class=\"badge\" id=\"badgeModuleType\" data-keyword=\"Submodel\"> Submodel <\/span> <span class=\"badge\" id=\"badgeLanguage\" data-keyword=\"NetLogo\"> NetLogo <\/span> <br> <span class=\"badge\" id=\"badgeRegions\" data-keyword=\"Global\"> Global <\/span>&nbsp;<span class=\"badge\" id=\"badgeRegions\" data-keyword=\"European\"> European <\/span> <span class=\"badge\" id=\"badgePeriods\" data-keyword=\"Undifferentiated\"> Undifferentiated <\/span>&nbsp;<span class=\"badge\" id=\"badgePeriods\" data-keyword=\"Pre-modern\"> Pre-modern <\/span> <span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"demography\"> demography <\/span>&nbsp;<span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"household\"> household <\/span>&nbsp;<span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"epidemics\"> epidemics <\/span>&nbsp;<span class=\"badge\" id=\"badgeSubjects\" data-keyword=\"networks\"> networks <\/span> <span class=\"badge\" id=\"badgeModelling\" data-keyword=\"initialisation\"> initialisation <\/span>&nbsp;<span class=\"badge\" id=\"badgeModelling\" data-keyword=\"run-time\"> run-time <\/span> <span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Object-oriented\"> Object-oriented <\/span>&nbsp;<span class=\"badge\" id=\"badgeProgramming\" data-keyword=\"Nondeterministic\"> Nondeterministic <\/span>"]],"container":"<table class=\"display\">\n  <thead>\n    <tr>\n      <th><\/th>\n      <th>Title<\/th>\n      <th>Contributors<\/th>\n      <th>Version<\/th>\n      <th>Last update<\/th>\n      <th>Keywords<\/th>\n    <\/tr>\n  <\/thead>\n<\/table>","options":{"pageLength":25,"language":{"search":"Search by Last update, Contributors, Title or keyword:"},"search":{"regex":true},"initComplete":"function(settings, json) {\n$(this.api().table().header()).css({'background-color': '#03989e'});\n}","fixedHeader":{"header":true},"columnDefs":[{"targets":[3,3],"orderable":false},{"targets":[0,0],"searchable":false},{"name":"View","targets":0},{"name":"title","targets":1},{"name":"contributors","targets":2},{"name":"moduleVersion","targets":3},{"name":"lastUpdateDate","targets":4},{"name":"Keywords","targets":5}],"order":[],"autoWidth":false,"orderClasses":false,"rowCallback":"function(row, data, displayNum, displayIndex, dataIndex) {\nvar value=data[4]; $(this.api().cell(row, 4).node()).css({'width':'100px'});\nvar value=data[3]; $(this.api().cell(row, 3).node()).css({'text-align':'center','column-width':'50px'});\nvar value=data[0]; $(this.api().cell(row, 0).node()).css({'text-align':'center','vertical-align':'middle','column-width':'50px','font-size':'200%'});\nvar value=data[-1]; $(row).css({'color':$.inArray(dataIndex + 1, [1]) >= 0 ? \"grey\" : null,'font-style':$.inArray(dataIndex + 1, [1]) >= 0 ? \"italic\" : null});\n}"}},"evals":["options.initComplete","options.rowCallback"],"jsHooks":[]}</script>
 </div>
 <div id="customsidebar">
 <button id="resetFilter">Clear</button> <br>