Description
Software Tools to Quantify Structural Importance of Nodes in a Network
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) <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.
README.md
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.
[](https://github.com/khanna-lab/influenceR/actions/workflows/R-CMD-check.yaml)
