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influenceR
View on CRAN: Click
here
Download and install influenceR package within the R console
Install from CRAN:
install.packages("influenceR")
Install from Github:
library("remotes")
install_github("cran/influenceR") Install by package version:
library("remotes")
install_version("influenceR", "0.1.5") Attach the package and use:
library("influenceR")
Maintained by
Aditya Khanna
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-09-03
Latest Update: 2023-05-18
Description:
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) ; algorithm
to identify key players by Borgatti (2006) ; and the
bridging algorithm by Valente and Fujimoto (2010) .
On Unix systems, the betweenness, Key Players, and
bridging implementations are parallelized with OpenMP, which may run
faster on systems which have OpenMP configured.
How to cite:
Aditya Khanna (2015). influenceR: Software Tools to Quantify Structural Importance of Nodes in a Network. R package version 0.1.5, https://cran.r-project.org/web/packages/influenceR. Accessed 13 Mar. 2026.
Previous versions and publish date:
Other packages that cited influenceR R package
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Other R packages that influenceR depends,
imports, suggests or enhances
Complete documentation for influenceR
Functions, R codes and Examples using
the influenceR R package
Some associated functions: betweenness . bridging . constraint . csv.to.igraph . ens . influenceR . keyplayer .
Some associated R codes: graph_metrics.R . influenceR.R . Full influenceR package functions and examples
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