In network analysis, many community detection algorithms have been developed. However, their applications leave unaddressed one important question: the statistical validation of the results. robin (ROBustness In Network) is an R package for the validation of community detection. It has a double aim: to study the robustness of a community detection algorithm and to compare the robustness of different community detection algorithms on the same network. Reference in Annamaria Carissimo, Luisa Cutillo, Italia De Feis (2018) <doi:10.1016/j.csda.2017.10.006>.
| Version: | 1.0.0 |
| Depends: | R (≥ 3.5), igraph, gprege |
| Imports: | ggplot2, networkD3, DescTools, fdatest, methods |
| Suggests: | devtools, cowplot, knitr, rmarkdown, testthat (≥ 2.1.0) |
| Published: | 2020-02-17 |
| Author: | Valeria Policastro [aut, cre] |
| Maintainer: | Valeria Policastro <valeria.policastro at gmail.com> |
| License: | MIT + file LICENSE |
| URL: | https://github.com/ValeriaPolicastro/robin |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | robin results |
| Reference manual: | robin.pdf |
| Vignettes: |
robin |
| Package source: | robin_1.0.0.tar.gz |
| Windows binaries: | r-prerelease: robin_1.0.0.zip, r-release: robin_1.0.0.zip, r-oldrel: robin_1.0.0.zip |
| macOS binaries: | r-prerelease: robin_1.0.0.tgz, r-release: not available, r-oldrel: not available |
| Old sources: | robin archive |
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