netrankr: Analyzing Partial Rankings in Networks

Implements methods for centrality related analyses of networks. While the package includes the possibility to build more than 20 indices, its main focus lies on index-free assessment of centrality via partial rankings obtained by neighborhood-inclusion or positional dominance. These partial rankings can be analyzed with different methods, including probabilistic methods like computing expected node ranks and relative rank probabilities (how likely is it that a node is more central than another?). The methodology is described in depth in the vignettes and in Schoch (2018) <doi:10.1016/j.socnet.2017.12.003>.

Version:	1.2.3
Depends:	R (≥ 3.0.1)
Imports:	igraph (≥ 1.0.1), Rcpp (≥ 0.12.8), Matrix
LinkingTo:	Rcpp, RcppArmadillo
Suggests:	knitr, rmarkdown, magrittr, testthat, shiny (≥ 0.13), miniUI (≥ 0.1.1), rstudioapi (≥ 0.5), covr
Published:	2023-12-19
DOI:	10.32614/CRAN.package.netrankr
Author:	David Schoch [aut, cre], Julian Müller [ctb]
Maintainer:	David Schoch <david at schochastics.net>
BugReports:	https://github.com/schochastics/netrankr/issues
License:	MIT + file LICENSE
URL:	https://github.com/schochastics/netrankr/, https://schochastics.github.io/netrankr/
NeedsCompilation:	yes
Citation:	netrankr citation info
Materials:	README NEWS
CRAN checks:	netrankr results

Documentation:

Reference manual:	netrankr.pdf
Vignettes:	09 benchmarks 05 centrality indices 04 indirect relations in networks 01 neighborhood-inclusion and centrality 06 partial centrality 03 positional dominance in networks 07 probabilistic centrality 02 uniquely ranked graphs 08 use case

Downloads:

Package source:	netrankr_1.2.3.tar.gz
Windows binaries:	r-devel: netrankr_1.2.3.zip, r-release: netrankr_1.2.3.zip, r-oldrel: netrankr_1.2.3.zip
macOS binaries:	r-release (arm64): netrankr_1.2.3.tgz, r-oldrel (arm64): netrankr_1.2.3.tgz, r-release (x86_64): netrankr_1.2.3.tgz, r-oldrel (x86_64): netrankr_1.2.3.tgz
Old sources:	netrankr archive

Reverse dependencies:

Reverse depends:	parsec
Reverse suggests:	tidygraph

Linking:

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