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visualize.py
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import networkx as nx
import utils
import sys
sys.path.append("./finding-balanced-subgraphs")
import timbal
import matplotlib.pyplot as plt
import json
import numpy as np
import pickle
def read_balance_file (dataset_name, dataset_info):
dataset_res_dir = "Results/" + dataset_name + "/"
A = utils.read_adj_sparse_matrix(dataset_res_dir + "adj_mat.txt", comment=dataset_info['comment'],
sep="\t", min_node=0)
S = utils.read_snodes(dataset_res_dir + "s_nodes.txt")
return A, S
datasets = json.load(open("datasets_info.json", "r"))
dataset_name = "BitcoinOTC"
budget = int(sys.argv[1])
# if (budget != 0):
# chosen_edges = "deledges_rand_nonspec_mb" + str(budget) + "_H5872_s4487.txt"
# else:
# chosen_edges = "deledges_rand_nonspec_mb50_H5872_s4487.txt"
chosen_edges = "deledges_nonspec_mb50_H5872_s4487.txt"
dataset_info = [y for x, y in datasets.items() if (x.split("/")[0] == dataset_name)][0]
A, S = read_balance_file(dataset_name, dataset_info)
G = nx.from_numpy_matrix(A.todense())
#
ind = utils.get_indicator_vector(A[S, :][:, S])
x_v = np.zeros(shape=A.shape[0])
x_v[S] = ind
s_nodes_p = list(np.where(x_v == +1)[0])
s_nodes_m = list(np.where(x_v == -1)[0])
#
all_edges = list(G.edges)
out_edges = [e for e in all_edges if ((e[0] not in S) or (e[1] not in S))]
del_edges = utils.read_deledges("Visualization/" + dataset_name + "/" + chosen_edges)[:budget]
print(len(del_edges))
del_edges_p = [e for e in del_edges if (A[e] == +1)]
del_edges_m = [e for e in del_edges if (A[e] == -1)]
#
Ad = A.copy()
for e in del_edges:
Ad = utils.delete_edge(Ad, e)
S_new = timbal.process_only_second (Ad, S)
s_nodes = S
added_nodes = list(set(S_new).difference(set(S)))
ind = utils.get_indicator_vector(Ad[S_new, :][:, S_new])
x_v = np.zeros(shape=Ad.shape[0])
x_v[S_new] = ind
added_nodes_p = [i for i in added_nodes if (x_v[i] == +1)]
added_nodes_m = [i for i in added_nodes if (x_v[i] == -1)]
other_nodes = set(G.nodes).difference(S_new)
#
#
Gr = nx.Graph()
Gr.add_nodes_from(G.nodes)
Gr.add_edges_from(out_edges)
# Gr.add_edges_from(del_edges_p + del_edges_m)
plt.figure(num=None, figsize=(2, 2), dpi=150)
plt.axis('off')
fig = plt.figure(1)
if (len(sys.argv) > 2):
pos = pickle.load(open(sys.argv[2], 'rb'))
else:
pos = {}
Rs = 0.85
for n in s_nodes_p:
r = Rs * np.sqrt(np.random.uniform(0, 1))
theta = np.random.uniform(0, 2*np.pi)
pos[n] = (-1 + r*np.cos(theta), r*np.sin(theta))
for n in s_nodes_m:
r = Rs * np.sqrt(np.random.uniform(0, 1))
theta = np.random.uniform(0, 2*np.pi)
pos[n] = (1 + r*np.cos(theta), r*np.sin(theta))
for n in (added_nodes):
theta = np.random.uniform(60*np.pi/180, 120*np.pi/180)
lower_r = 1/((np.cos(theta)**2/4 + np.sin(theta)**2/2)**0.5)
# r = np.random.uniform(1, lower_r)
r = np.random.uniform(0.75*lower_r, 1.25*lower_r)
pos[n] = (r*np.cos(theta), r*np.sin(theta))
for n in (other_nodes):
lower_theta = 30 * np.pi/180
theta = np.random.uniform(lower_theta, np.pi - lower_theta)
# if (np.random.uniform() > 0.5):
# theta = np.random.uniform(lower_theta, np.pi - lower_theta)
# else:
# theta = np.random.uniform(np.pi + lower_theta, 2*np.pi - lower_theta)
lower_r = 1/((np.cos(theta)**2/4 + np.sin(theta)**2/2)**0.5)
# r = np.random.uniform(lower_r, 2)
r = np.random.uniform(0.75*lower_r, 1.25*lower_r)
pos[n] = (r*np.cos(theta), r*np.sin(theta))
pickle.dump(pos, open("Visualization/" + dataset_name + str(budget) + ".pkl", "wb"))
snodes_p_draw = nx.draw_networkx_nodes(Gr,pos,node_size=15,nodelist=s_nodes_p, node_color='green',
node_shape='o')#, edgecolors='black')
snodes_m_draw = nx.draw_networkx_nodes(Gr,pos,node_size=15,nodelist=s_nodes_m, node_color='darkorange',
node_shape='o')#, edgecolors='black')
added_nodes_p_draw = nx.draw_networkx_nodes(Gr,pos,node_size=15,nodelist=added_nodes_p,
node_color='green', node_shape='s', edgecolors='black', linewidths=0.27)
added_nodes_m_draw = nx.draw_networkx_nodes(Gr,pos,node_size=15,nodelist=added_nodes_m,
node_color='darkorange', node_shape='s', edgecolors='black', linewidths=0.27)
other_nodes_draw = nx.draw_networkx_nodes(Gr,pos,node_size=5,nodelist=other_nodes,
node_color='grey', node_shape='o', edgecolors='grey')
deledges_p_draw = nx.draw_networkx_edges(Gr, pos, width=1.3, edgelist=del_edges_p,
edge_color='red', style='dashed')
deledges_m_draw = nx.draw_networkx_edges(Gr, pos, width=1.3, edgelist=del_edges_m,
edge_color='mediumblue', style='dashed')
other_edges = list(set(out_edges).difference(set(del_edges)))
nx.draw_networkx_edges(Gr, pos, width=1, edgelist=[e for e in other_edges if (A[e] == +1)],
edge_color='orangered', alpha=0.1)
nx.draw_networkx_edges(Gr, pos, width=1, edgelist=[e for e in other_edges if (A[e] == -1)],
edge_color='cornflowerblue', alpha=0.1)
try:
snodes_p_draw.set_zorder(20)
snodes_m_draw.set_zorder(20)
added_nodes_p_draw.set_zorder(10)
added_nodes_m_draw.set_zorder(10)
other_nodes_draw.set_zorder(2)
deledges_p_draw.set_zorder(20)
deledges_m_draw.set_zorder(20)
except:
pass
plt.axis('off')
plt.tight_layout()
# plt.subplots_adjust(wspace=-5,hspace=-5)
plt.subplots_adjust(top = 1, bottom = 0, right = 1, left = 0,
hspace = 0, wspace = 0)
# plt.show()
plt.savefig("Visualization/BitcoinOTC" + str(budget) + ".png", bbox_inches = 'tight',
pad_inches = 0)