influenceR: Software Tools to Quantify Structural Importance of Nodes in a Network

Provides functionality to compute various node centrality measures on networks. Included are functions to compute betweenness centrality (by utilizing Madduri and Bader's SNAP library), implementations of constraint and effective network size by Burt (2000) <doi:10.1016/S0191-3085(00)22009-1>; algorithm to identify key players by Borgatti (2006) <doi:10.1007/s10588-006-7084-x>; and the bridging algorithm by Valente and Fujimoto (2010) <doi:10.1016/j.socnet.2010.03.003>. On Unix systems, the betweenness, Key Players, and bridging implementations are parallelized with OpenMP, which may run faster on systems which have OpenMP configured.

Version:	0.1.5
Depends:	R (≥ 3.2.0)
Imports:	igraph (≥ 1.0.1), Matrix (≥ 1.1-4), methods, utils
Suggests:	testthat
Published:	2023-05-18
DOI:	10.32614/CRAN.package.influenceR
Author:	Simon Jacobs [aut], Aditya Khanna [aut, cre], Kamesh Madduri [ctb], David Bader [ctb]
Maintainer:	Aditya Khanna <khanna7.work at gmail.com>
License:	GPL-2
URL:	https://github.com/khanna-lab/influenceR
NeedsCompilation:	yes
Materials:	README, NEWS
CRAN checks:	influenceR results

Documentation:

Reference manual:

influenceR.html , influenceR.pdf

Downloads:

Package source:	influenceR_0.1.5.tar.gz
Windows binaries:	r-devel: influenceR_0.1.5.zip, r-release: influenceR_0.1.5.zip, r-oldrel: influenceR_0.1.5.zip
macOS binaries:	r-release (arm64): influenceR_0.1.5.tgz, r-oldrel (arm64): influenceR_0.1.5.tgz, r-release (x86_64): influenceR_0.1.5.tgz, r-oldrel (x86_64): influenceR_0.1.5.tgz
Old sources:	influenceR archive

Reverse dependencies:

Reverse suggests:

tidygraph

Linking:

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