ROBustness in Network

Many community detection algorithms have been developed in network analysis. However, their applications leave unaddressed the statistical validation of the results, for this reason we developed ROBIN (ROBustness In Network), a useful method for the validation of community detection. It has a double aim, it studies the robustness of a single community detection algorithm and compares two community detection algorithms to understand which provides the best partition. Reference in Annamaria Carissimo, Luisa Cutillo, Italia De Feis (2018) .


Reference manual

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0.99.1 by Valeria Policastro, a month ago

Browse source code at

Authors: Valeria Policastro [aut, cre] , Dario Righelli [aut] , Luisa Cutillo [aut] , Italia De Feis [aut] , Annamaria Carissimo [aut]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports ggplot2, networkD3, DescTools, fdatest, methods

Depends on igraph, gprege

Suggests devtools, cowplot, knitr, rmarkdown, testthat

See at CRAN