Node centrality measures for temporal networks. Available measures are temporal degree centrality, temporal closeness centrality and temporal betweenness centrality defined by Kim and Anderson (2012) <doi:10.1103/PhysRevE.85.026107>. Applying the REN algorithm by Hanke and Foraita (2017) <doi:10.1186/s12859-017-1677-x> when calculating the centrality measures keeps the computational running time linear in the number of graph snapshots. Further, all methods can run in parallel up to the number of nodes in the network.
Version: 0.1.0 Depends: R (≥ 3.4.1) Suggests: igraph (≥ 1.1.2), parallel (≥ 3.4.1), testthat (≥ 1.0.2) Published: 2017-09-06 DOI: 10.32614/CRAN.package.TNC Author: Moritz Hanke [aut, cre] Maintainer: Moritz Hanke <hanke at leibniz-bips.de> License: GPL-3 NeedsCompilation: no Materials: README CRAN checks: TNC results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=TNC to link to this page.
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