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# Summary

First introduced in 2012, the **rgexf** package for the R programming language was the first effort to make the Graph Exchange XML Format [@heymann2009gexf] specification available to the R world. With more than 500,000 downloads[^cranlogs], it is one of the most popular ways to incorporate GEXF files into the R programming language environment.
First introduced in 2012, the **rgexf** package for the R programming language was the first effort to make the Graph Exchange XML Format (GEXF) [@heymann2009gexf] specification available to the **R** world. With more than 500,000 downloads[^cranlogs], it is one of the most popular ways to incorporate GEXF files into the R programming language environment.

[^cranlogs]: According to the [https://cranlogs.r-pkg.org/](https://cranlogs.r-pkg.org/) website, as of June 14, 2021.

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- **netCoin**: Interactive Analytic Networks [@netCoin]

Nevertheless, the **rgexf** package continues to be the de-facto tool to interact with GEXF files in R.
Nevertheless, the **rgexf** package continues to be the de-facto tool to interact with GEXF files in **R**.

# Statement of Need

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# Features

Beyond reading and writing GEXF files from within R, the **rgexf** R package has various other features that can help to create beautiful network visualizations, in particular:
Using gexf objects--the main class implemented in rgexf--users can create GEXF objects from scratch, adding and removing nodes and edges--including features--as needed.

Users of the **igraph** package can directly convert objects between `gexf` and `igraph` classes.
Thanks to the **gexf-js** javascript library, users can immediately visualize their network objects in the web browser.
- Using gexf objects--the main class implemented in rgexf--users can create GEXF objects from scratch, adding and removing nodes and edges--including features--as needed.

- Users of the **igraph** package can directly convert objects between `gexf` and `igraph` classes.

- Thanks to the **gexf-js** javascript library, users can immediately visualize their network objects in the web browser.

Because of these and other reasons, the **rgexf** package has been featured in many scientific papers, stating the great utility that this R package has provided to the community. The **rgexf** package is available in the Comprehensive R Archive Network (CRAN) and the project repository at [https://github.com/gvegayon/rgexf](https://github.com/gvegayon/rgexf).

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