Installation
About
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.
Citation | netrankr citation info |
github.com/schochastics/netrankr/ | |
schochastics.github.io/netrankr/ | |
Bug report | File report |
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Maintainer
Maintainer | David Schoch |