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: | 0.1.0.1 |
Depends: | R (≥ 3.2.0) |
Imports: | igraph (≥ 1.0.1), Matrix (≥ 1.1-4), methods, utils |
Suggests: | testthat |
Published: | 2021-09-25 |
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 |
Reference manual: | influenceR.pdf |
Package source: | influenceR_0.1.0.1.tar.gz |
Windows binaries: | r-devel: influenceR_0.1.0.1.zip, r-release: influenceR_0.1.0.1.zip, r-oldrel: influenceR_0.1.0.1.zip |
macOS binaries: | r-release (arm64): influenceR_0.1.0.1.tgz, r-oldrel (arm64): influenceR_0.1.0.1.tgz, r-release (x86_64): influenceR_0.1.0.1.tgz, r-oldrel (x86_64): influenceR_0.1.0.1.tgz |
Old sources: | influenceR archive |
Reverse imports: | DiagrammeR |
Reverse suggests: | tidygraph |
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