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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 121.4 kB | win-64/r-leidenalg-1.0.1-r40ha856d6a_0.tar.bz2  3 years and 7 months ago 718 main
conda 119.3 kB | win-64/r-leidenalg-1.0.1-r41ha856d6a_0.tar.bz2  3 years and 7 months ago 706 main
conda 133.0 kB | osx-64/r-leidenalg-1.0.1-r41h9951f98_0.tar.bz2  3 years and 7 months ago 76 main
conda 133.0 kB | osx-64/r-leidenalg-1.0.1-r40h9951f98_0.tar.bz2  3 years and 7 months ago 78 main
conda 133.2 kB | linux-64/r-leidenalg-1.0.1-r41h03ef668_0.tar.bz2  3 years and 7 months ago 2440 main
conda 133.0 kB | linux-64/r-leidenalg-1.0.1-r40h03ef668_0.tar.bz2  3 years and 7 months ago 2460 main

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