Implements the Leiden Algorithm via an R Interface
Returns pre-calculated dendrogram
Refer to the R function find_partition() For notes of the graph object...
Finds the optimal partition using the Leiden algorithm
Finds the optimal partition using the Leiden algorithm with replicate ...
Finds the optimal partition using the Leiden algorithm
Leiden algorithm community detection Detects communities using Leiden ...
Returns pre-calculated membership factor
Recursive leiden communities Constructs an n-step recursive clustering...
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>.
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