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influenceR  

Software Tools to Quantify Structural Importance of Nodes in a Network
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]
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 30 Apr. 2025.
Previous versions and publish date:
0.1.0.1 (2021-09-25 12:15), 0.1.0.2 (2023-05-05 10:32), 0.1.0 (2015-09-03 12:20)
Other packages that cited influenceR R package
View influenceR citation profile
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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