Package: netrankr 1.2.3

netrankr: Analyzing Partial Rankings in Networks

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>.

Authors:David Schoch [aut, cre], Julian Müller [ctb]

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Bug tracker:https://github.com/schochastics/netrankr/issues

On CRAN:

network-analysisnetwork-centrality

31 exports 49 stars 3.36 score 13 dependencies 2 dependents 76 scripts 1.1k downloads

Last updated 8 days agofrom:60eee0c3ec. Checks:OK: 9. Indexed: yes.

Exports:aggregate_positionsapprox_rank_expectedapprox_rank_relativecomparable_pairscompare_ranksdist_2powdist_dpowdist_invdist_powddominance_graphexact_rank_probget_rankingshyperbolic_indexincomparable_pairsindex_builderindirect_relationsis_preservedmajorization_gapmcmc_rank_probneighborhood_inclusionpositional_dominancerank_intervalsspectral_gapthreshold_graphtransitive_reductionwalks_attenuatedwalks_expwalks_exp_evenwalks_exp_oddwalks_limit_propwalks_uptok

Dependencies:clicpp11glueigraphlatticelifecyclemagrittrMatrixpkgconfigRcppRcppArmadillorlangvctrs