Package: TNC 0.1.0
Moritz Hanke
TNC: Temporal Network Centrality (TNC) Measures
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.
Authors:
TNC_0.1.0.tar.gz
TNC_0.1.0.tar.gz(r-4.5-noble)TNC_0.1.0.tar.gz(r-4.4-noble)
TNC_0.1.0.tgz(r-4.4-emscripten)TNC_0.1.0.tgz(r-4.3-emscripten)
TNC.pdf |TNC.html✨
TNC/json (API)
| # Install 'TNC' in R: |
| install.packages('TNC', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:ea5517348d. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 02 2024 |
| R-4.5-linux | OK | Sep 02 2024 |
Dependencies:
