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.

Documentation

Manual: influenceR.pdf
Vignette: None available.

Maintainer: Khanna Aditya <khanna7 at uchicago.edu>

Author(s): Jacobs Simon*, Khanna Aditya*, Madduri Kamesh*, Bader David*

Install package and any missing dependencies by running this line in your R console:

install.packages("influenceR")

Depends R (>= 3.2.0)
Imports igraph(>=1.0.1), Matrix(>=1.1-4), methods, utils
Suggests testthat
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Package influenceR
Materials
URL https://github.com/rcc-uchicago/influenceR
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Version 0.1.0
Published 2015-09-03
License GPL-2
BugReports
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks influenceR check results
Package source influenceR_0.1.0.tar.gz