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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-post-staging / r-netrankr
Type Size Name Uploaded Downloads Labels
conda 899.0 kB | win-64/r-netrankr-0.3.0-r41ha856d6a_0.tar.bz2  4 years and 4 months ago 800 main
conda 929.5 kB | win-64/r-netrankr-0.3.0-r40ha856d6a_0.tar.bz2  4 years and 4 months ago 786 main
conda 906.8 kB | osx-64/r-netrankr-0.3.0-r41h9951f98_0.tar.bz2  4 years and 4 months ago 146 main
conda 894.0 kB | osx-64/r-netrankr-0.3.0-r40h9951f98_0.tar.bz2  4 years and 4 months ago 138 main
conda 912.8 kB | linux-64/r-netrankr-0.3.0-r41h03ef668_0.tar.bz2  4 years and 4 months ago 2932 main
conda 908.8 kB | linux-64/r-netrankr-0.3.0-r40h03ef668_0.tar.bz2  4 years and 4 months ago 2879 main
conda 918.7 kB | win-64/r-netrankr-0.3.0-r36h796a38f_0.tar.bz2  5 years and 1 month ago 1036 main
conda 931.3 kB | win-64/r-netrankr-0.3.0-r40h796a38f_0.tar.bz2  5 years and 1 month ago 1025 main
conda 890.8 kB | osx-64/r-netrankr-0.3.0-r36h710217c_0.tar.bz2  5 years and 1 month ago 317 main
conda 892.9 kB | osx-64/r-netrankr-0.3.0-r40h710217c_0.tar.bz2  5 years and 1 month ago 334 main
conda 919.6 kB | linux-64/r-netrankr-0.3.0-r36h0357c0b_0.tar.bz2  5 years and 1 month ago 3248 main
conda 917.9 kB | linux-64/r-netrankr-0.3.0-r40h0357c0b_0.tar.bz2  5 years and 1 month ago 3276 main

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