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>.
Version: 1.1.5 Depends: R (≥ 3.5.0), Matrix Imports: graphics, grDevices, igraph, methods, parallel, Rcpp (≥ 1.0.5), sccore, stats LinkingTo: Rcpp, RcppArmadillo, RcppEigen Suggests: pbapply, testthat (≥ 3.1.0) Published: 2025-04-19 DOI: 10.32614/CRAN.package.leidenAlg Author: Peter Kharchenko [aut], Viktor Petukhov [aut], Yichen Wang [aut], V.A. Traag [ctb], Gábor Csárdi [ctb], Tamás Nepusz [ctb], Minh Van Nguyen [ctb], Evan Biederstedt [cre, aut] Maintainer: Evan Biederstedt <evan.biederstedt at gmail.com> BugReports: https://github.com/kharchenkolab/leidenAlg/issues License: GPL-3 Copyright: See the file COPYRIGHTS for various leidenAlg copyright detailsPlease use the canonical form https://CRAN.R-project.org/package=leidenAlg to link to this page.
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