netrankr (0.2.1)

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Analyzing Partial Rankings in Networks.

https://schochastics.github.io/netrankr
http://cran.r-project.org/web/packages/netrankr

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) .

Maintainer: David Schoch
Author(s): David Schoch [aut, cre], Julian Mller [ctb]

License: MIT + file LICENSE

Uses: igraph, Rcpp, ggplot2, testthat, knitr, shiny, magrittr, rstudioapi, rmarkdown, miniUI
Reverse depends: parsec
Reverse suggests: tidygraph

Released 11 months ago.


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