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leidenAlg  

Implements the Leiden Algorithm via an R Interface
View on CRAN: Click here


Download and install leidenAlg package within the R console
Install from CRAN:
install.packages("leidenAlg")

Install from Github:
library("remotes")
install_github("cran/leidenAlg")

Install by package version:
library("remotes")
install_version("leidenAlg", "1.1.5")



Attach the package and use:
library("leidenAlg")
Maintained by
Evan Biederstedt
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-11
Latest Update: 2025-04-19
Description:
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: . 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) .
How to cite:
Evan Biederstedt (2020). leidenAlg: Implements the Leiden Algorithm via an R Interface. R package version 1.1.5, https://cran.r-project.org/web/packages/leidenAlg. Accessed 12 Jun. 2026.
Previous versions and publish date:
0.1.0 (2020-11-11 14:50), 0.1.1 (2021-03-03 18:10), 1.0.0 (2021-11-19 22:40), 1.0.1 (2021-12-04 06:50), 1.0.2 (2022-03-03 21:40), 1.0.3 (2022-04-11 06:32), 1.0.4 (2022-09-26 02:40), 1.0.5 (2022-09-30 09:20), 1.1.0 (2023-07-03 19:40), 1.1.1 (2023-09-03 22:30), 1.1.2 (2023-09-06 09:00), 1.1.3 (2024-02-27 23:50), 1.1.4 (2024-10-17 23:00), 1.1.5 (2025-04-19 22:12), 1.1.6 (2026-03-06 07:30), 1.1.7 (2026-04-16 07:10)
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