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influenceR

influenceR: Software tools to quantify structural importance of nodes in a network. Algorithms include Betweenness Centrality, Bridging, Constraint Index, Effective Network Size, and Key Players. Currently, algorithms are implemented only for undirected graphs; work on directed graphs is in progress.

Installation

The current release version can be found on CRAN and installed with:

install.packages("influenceR")

Citation

If using this package, please cite Jacobs SD, Khanna AS (2015). influenceR: Software tools to quantify structural importance of nodes in a network R Package Version 1.0.0.5. URL https://github.com/khanna-lab/influenceR.

Funding

Development of this software package was supported by NIH grant R01 DA033875.

[![R-CMD-check](https://github.com/khanna-lab/influenceR/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/khanna-lab/influenceR/actions/workflows/R-CMD-check.yaml)

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Version

Install

install.packages('influenceR')

Monthly Downloads

1,931

Version

0.1.5

License

GPL-2

Issues

0

Pull Requests

0

Stars

1

Forks

0

Maintainer

Aditya Khanna

Last Published

May 18th, 2023

Functions in influenceR (0.1.5)

betweenness

Vertex Betweenness centrality measure.
keyplayer

Compute a KPP-Pos set for a given graph.
csv.to.igraph

Convert a CSV file to an igraph graph object.
constraint

Burt's Constraint Index.
bridging

Valente's Bridging vertex measure.
influenceR

influenceR: Software tools to quantify structural importance of nodes in a network.
ens

Burt's Effective Network Size and Constraint index. The next two functions below provide ways to measure the actors' access to structural holes in a network. Structural holes "provide opportunities to broker connections between people" (Burt 2008).