linkcomm: Tools for Generating, Visualizing, and Analysing Link Communities in Networks

Link communities reveal the nested and overlapping structure in networks, and uncover the key nodes that form connections to multiple communities. linkcomm provides a set of tools for generating, visualizing, and analysing link communities in networks of arbitrary size and type. The linkcomm package also includes tools for generating, visualizing, and analysing Overlapping Cluster Generator (OCG) communities. Kalinka and Tomancak (2011) <10.1093/bioinformatics/btr311>.

Version: 1.0-13
Depends: igraph, RColorBrewer
Imports: dynamicTreeCut, grid, utils
Suggests: fastcluster, R.rsp
Published: 2020-10-06
Author: Alex T. Kalinka, with contributions from Alain Guenoche
Maintainer: Alex T. Kalinka <alex.t.kalinka at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://alextkalinka.github.io/linkcomm/, https://github.com/alextkalinka/linkcomm
NeedsCompilation: yes
Citation: linkcomm citation info
Materials: README NEWS
CRAN checks: linkcomm results

Downloads:

Reference manual: linkcomm.pdf
Vignettes: R packages: Static PDF and HTML vignettes
Package source: linkcomm_1.0-13.tar.gz
Windows binaries: r-devel: linkcomm_1.0-13.zip, r-release: linkcomm_1.0-13.zip, r-oldrel: linkcomm_1.0-13.zip
macOS binaries: r-release: linkcomm_1.0-13.tgz, r-oldrel: linkcomm_1.0-13.tgz
Old sources: linkcomm archive

Reverse dependencies:

Reverse imports: miRSM, miRspongeR, RITAN, wiseR
Reverse suggests: centiserve

Linking:

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