Package: disparityfilter 2.2.0

disparityfilter: Disparity Filter Algorithm for Weighted Networks

The disparity filter algorithm is a network reduction technique to identify the 'backbone' structure of a weighted network without destroying its multi-scale nature. The algorithm was developed by M. Angeles Serrano, Marian Boguna and Alessandro Vespignani in "Extracting the multiscale backbone of complex weighted networks", Proceedings of the National Academy of Sciences 106 (16), 2009. This implementation of the algorithm supports both directed and undirected networks.

Authors:Alessandro Bessi [aut, cre], Francois Briatte [aut]

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disparityfilter.pdf |disparityfilter.html✨
disparityfilter/json (API)

# Install 'disparityfilter' in R:
install.packages('disparityfilter', repos = c('https://alessandrobessi.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/alessandrobessi/disparityfilter/issues

On CRAN:

4.08 score 10 stars 12 scripts 141 downloads 2 mentions 1 exports 11 dependencies

Last updated 9 years agofrom:dc169891df. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-winOKOct 31 2024
R-4.5-linuxOKOct 31 2024
R-4.4-winOKOct 31 2024
R-4.4-macOKOct 31 2024
R-4.3-winOKOct 31 2024
R-4.3-macOKOct 31 2024

Exports:backbone

Dependencies:clicpp11glueigraphlatticelifecyclemagrittrMatrixpkgconfigrlangvctrs