netrankr (0.2.1)

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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) .

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 over 1 year ago.

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