Two C++ codes, the original and an updated versions, are freely available for download. More information can be found in the readme file included in both distributions and here. A preliminary matlab version can be obtained on demand. Details about our method can be found here. This project has been developed by Vincent Blondel, Jean-Loup Guillaume, Renaud Lambiotte, and Etienne Lefebvre Using the
We propose a simple method to extract the community structure of large networks. Our method is a heuristic method that is based on modularity optimization. It is shown to outperform all other known community detection method in terms of computation time. Moreover, the quality of the communities detected is very good, as measured by the so-called modularity. This is shown first by identifying langu
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