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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-staging / r-leidenalg
Type Size Name Uploaded Downloads Labels
conda 215.1 kB | win-64/r-leidenalg-1.1.0-r41ha856d6a_0.conda  1 year and 5 months ago 420 main
conda 230.0 kB | osx-64/r-leidenalg-1.1.0-r43hac7d2d5_0.conda  1 year and 5 months ago 208 main
conda 230.4 kB | osx-64/r-leidenalg-1.1.0-r42hac7d2d5_0.conda  1 year and 5 months ago 200 main
conda 244.7 kB | linux-64/r-leidenalg-1.1.0-r43ha503ecb_0.conda  1 year and 5 months ago 1196 main
conda 248.3 kB | linux-64/r-leidenalg-1.1.0-r42ha503ecb_0.conda  1 year and 5 months ago 1198 main

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