Abstract

Lange, J., (2021). CliquePercolation: An R Package for conducting and visualizing results of the clique percolation network community detection algorithm. Journal of Open Source Software, 6(62), 3210, https://doi.org/10.21105/joss.03210

Highlights

  • Modeling complex phenomena as networks constitutes one of the – if not the most – versatile field of research (Barabási, 2011)

  • One structural characteristic of networks that is investigated frequently across various sciences is the detection of communities (Fortunato, 2010)

  • Most community detection algorithms thereby put each node in only one community

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Summary

Introduction

Modeling complex phenomena as networks constitutes one of the – if not the most – versatile field of research (Barabási, 2011). Most community detection algorithms thereby put each node in only one community. To CFinder, an R function for running one variant of the clique percolation algorithm is available in a GitHub repository.

Results
Conclusion

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