Package: influenceR 0.1.5
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.
Authors:
influenceR_0.1.5.tar.gz
influenceR_0.1.5.tar.gz(r-4.5-noble)influenceR_0.1.5.tar.gz(r-4.4-noble)
influenceR_0.1.5.tgz(r-4.4-emscripten)influenceR_0.1.5.tgz(r-4.3-emscripten)
influenceR.pdf |influenceR.html✨
influenceR/json (API)
NEWS
# Install 'influenceR' in R: |
install.packages('influenceR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/khanna-lab/influencer/issues
Last updated 2 years agofrom:d86e81405c. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 10 2024 |
R-4.5-linux-x86_64 | OK | Dec 10 2024 |
Exports:betweennessbridgingconstraintcsv.to.igraphenskeyplayer
Dependencies:clicpp11glueigraphlatticelifecyclemagrittrMatrixpkgconfigrlangvctrs