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 Burt's constraint and effective network size (ENS) metrics, Borgatti's algorithm to identify key players, and Valente's bridging metric. 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: 0.1.0
Depends: R (≥ 3.2.0)
Imports: igraph (≥ 1.0.1), Matrix (≥ 1.1-4), methods, utils
Suggests: testthat
Published: 2015-09-03
Author: Jacobs Simon [aut], Khanna Aditya [aut, cre], Madduri Kamesh [ctb], Bader David [ctb]
Maintainer: Khanna Aditya <khanna7 at uchicago.edu>
License: GPL-2
URL: https://github.com/rcc-uchicago/influenceR
NeedsCompilation: yes
Materials: README
CRAN checks: influenceR results

Downloads:

Reference manual: influenceR.pdf
Package source: influenceR_0.1.0.tar.gz
Windows binaries: r-devel: influenceR_0.1.0.zip, r-release: influenceR_0.1.0.zip, r-oldrel: influenceR_0.1.0.zip
macOS binaries: r-release: influenceR_0.1.0.tgz, r-oldrel: influenceR_0.1.0.tgz

Reverse dependencies:

Reverse imports: DiagrammeR
Reverse suggests: tidygraph

Linking:

Please use the canonical form https://CRAN.R-project.org/package=influenceR to link to this page.