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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 224.0 kB | win-64/r-leidenalg-1.1.2-r41ha856d6a_0.conda  1 year and 3 months ago 321 main
conda 238.1 kB | osx-64/r-leidenalg-1.1.2-r43hac7d2d5_0.conda  1 year and 3 months ago 196 main
conda 238.0 kB | osx-64/r-leidenalg-1.1.2-r42hac7d2d5_0.conda  1 year and 3 months ago 217 main
conda 254.0 kB | linux-64/r-leidenalg-1.1.2-r42ha503ecb_0.conda  1 year and 3 months ago 1078 main
conda 255.0 kB | linux-64/r-leidenalg-1.1.2-r43ha503ecb_0.conda  1 year and 3 months ago 1112 main

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