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An R interface to the Leiden algorithm, an iterative community detection algorithm on networks. The algorithm is designed to converge to a partition in which all subsets of all communities are locally optimally assigned, yielding communities guaranteed to be connected. The implementation proves to be fast, scales well, and can be run on graphs of millions of nodes (as long as they can fit in memory). The original implementation was constructed as a python interface "leidenalg" found here: <https://github.com/vtraag/leidenalg>. The algorithm was originally described in Traag, V.A., Waltman, L. & van Eck, N.J. "From Louvain to Leiden: guaranteeing well-connected communities". Sci Rep 9, 5233 (2019) <doi:10.1038/s41598-019-41695-z>.

copied from cf-post-staging / r-leidenalg
Type Size Name Uploaded Downloads Labels
conda 223.9 kB | win-64/r-leidenalg-1.1.1-r41ha856d6a_0.conda  1 year and 11 months ago 547 main
conda 237.6 kB | osx-64/r-leidenalg-1.1.1-r43hac7d2d5_0.conda  1 year and 11 months ago 389 main
conda 238.8 kB | osx-64/r-leidenalg-1.1.1-r42hac7d2d5_0.conda  1 year and 11 months ago 373 main
conda 253.3 kB | linux-64/r-leidenalg-1.1.1-r43ha503ecb_0.conda  1 year and 11 months ago 1764 main
conda 254.3 kB | linux-64/r-leidenalg-1.1.1-r42ha503ecb_0.conda  1 year and 11 months ago 1796 main

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