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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>.

copied from cf-staging / r-netrankr
Type Size Name Uploaded Downloads Labels
conda 981.5 kB | win-64/r-netrankr-1.0.0-r40ha856d6a_0.tar.bz2  3 years and 11 months ago 750 main
conda 956.8 kB | win-64/r-netrankr-1.0.0-r41ha856d6a_0.tar.bz2  3 years and 11 months ago 751 main
conda 946.7 kB | osx-64/r-netrankr-1.0.0-r41h9951f98_0.tar.bz2  3 years and 11 months ago 98 main
conda 934.0 kB | osx-64/r-netrankr-1.0.0-r40h9951f98_0.tar.bz2  3 years and 11 months ago 96 main
conda 975.0 kB | linux-64/r-netrankr-1.0.0-r41h03ef668_0.tar.bz2  3 years and 11 months ago 2582 main
conda 965.2 kB | linux-64/r-netrankr-1.0.0-r40h03ef668_0.tar.bz2  3 years and 11 months ago 2544 main

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