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: | 0.2.1 |
| Depends: | R (≥ 3.0.1) |
| Imports: | igraph (≥ 1.0.1), Rcpp (≥ 0.12.8) |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | knitr, rmarkdown, magrittr, ggplot2, testthat, shiny (≥ 0.13), miniUI (≥ 0.1.1), rstudioapi (≥ 0.5) |
| Published: | 2018-09-18 |
| Author: | David Schoch [aut, cre], Julian Müller [ctb] |
| Maintainer: | David Schoch <david.schoch at manchester.ac.uk> |
| BugReports: | https://github.com/schochastics/netrankr/issues |
| License: | MIT + file LICENSE |
| URL: | https://schochastics.github.io/netrankr |
| NeedsCompilation: | yes |
| SystemRequirements: | C++11 |
| Citation: | netrankr citation info |
| Materials: | README NEWS |
| CRAN checks: | netrankr results |
| 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 |
| Package source: | netrankr_0.2.1.tar.gz |
| Windows binaries: | r-devel: netrankr_0.2.1.zip, r-release: netrankr_0.2.1.zip, r-oldrel: netrankr_0.2.1.zip |
| macOS binaries: | r-release: netrankr_0.2.1.tgz, r-oldrel: netrankr_0.2.1.tgz |
| Old sources: | netrankr archive |
| Reverse depends: | parsec |
| Reverse suggests: | tidygraph |
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