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
|Author||David Schoch [aut, cre], Julian Müller [ctb]|
|Date of publication||2018-01-08 15:38:47 UTC|
|Maintainer||David Schoch <[email protected]>|
|License||MIT + file LICENSE|
|Package repository||View on CRAN|
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