Package: influenceR 0.1.5

Aditya Khanna

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:Simon Jacobs [aut], Aditya Khanna [aut, cre], Kamesh Madduri [ctb], David Bader [ctb]

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'))

Peer review:

Bug tracker:https://github.com/khanna-lab/influencer/issues

Uses libs:
  • openmp– GCC OpenMP (GOMP) support library

openmp

2.25 score 1.8k downloads 2 mentions 6 exports 11 dependencies

Last updated 2 years agofrom:d86e81405c. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 10 2024
R-4.5-linux-x86_64OKDec 10 2024

Exports:betweennessbridgingconstraintcsv.to.igraphenskeyplayer

Dependencies:clicpp11glueigraphlatticelifecyclemagrittrMatrixpkgconfigrlangvctrs