influential: Identification of the Most Influential Nodes (Hubs)

Contains functions for reconstruction of networks from adjacency matrices and data frames, analysis of the topology of the network and calculation of centrality measures, and identification of the most influential nodes (network hubs). Also, some functions have been provided for the assessment of dependence and correlation of two network centrality measures as well as the conditional probability of deviation from their corresponding means in opposite direction. Fred Viole and David Nawrocki (2013, ISBN:1490523995).

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: igraph
Suggests: Hmisc (≥ 4.3-0), mgcv (≥ 1.8-31), nortest (≥ 1.0-4), NNS (≥ 0.4.7.1), parallel, knitr, rmarkdown
Published: 2020-02-17
Author: Adrian (Abbas) Salavaty
Maintainer: Adrian Salavaty <abbas.salavaty at gmail.com>
BugReports: http://github.com/asalavaty/influential/issues
License: GPL-3
URL: http://github.com/asalavaty/influential
NeedsCompilation: no
Materials: README
CRAN checks: influential results

Downloads:

Reference manual: influential.pdf
Vignettes: influential vignettes
Package source: influential_0.1.0.tar.gz
Windows binaries: r-devel: influential_0.1.0.zip, r-devel-gcc8: influential_0.1.0.zip, r-release: influential_0.1.0.zip, r-oldrel: influential_0.1.0.zip
OS X binaries: r-release: influential_0.1.0.tgz, r-oldrel: influential_0.1.0.tgz

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