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conda-forge / packages / r-netrankr 1.2.4

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

Installers

Info: This package contains files in non-standard labels.
  • linux-64 v1.2.4
  • osx-64 v1.2.4
  • win-64 v1.2.4

conda install

To install this package run one of the following:
conda install conda-forge::r-netrankr
conda install conda-forge/label/cf201901::r-netrankr
conda install conda-forge/label/cf202003::r-netrankr

Description


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