rcc-uchicago/influenceR: Software Tools to Quantify Structural Importance of Nodes in a Network

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) <doi:10.1016/S0191-3085(00)22009-1>; algorithm to identify key players by Borgatti (2006) <doi:10.1007/s10588-006-7084-x>; and the bridging algorithm by Valente and Fujimoto (2010) <doi:10.1016/j.socnet.2010.03.003>. On Unix systems, the betweenness, Key Players, and bridging implementations are parallelized with OpenMP, which may run faster on systems which have OpenMP configured.

Getting started

Package details

Maintainer
LicenseGPL-2
Version0.1.2
URL https://github.com/rcc-uchicago/influenceR
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("rcc-uchicago/influenceR")
rcc-uchicago/influenceR documentation built on May 27, 2019, 3:03 a.m.