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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 |
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 |
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 depends: | parsec |
Reverse suggests: | tidygraph |
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These binaries (installable software) and packages are in development.
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