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]

disparityfilter_2.2.0.tar.gz
disparityfilter_2.2.0.zip(r-4.5)disparityfilter_2.2.0.zip(r-4.4)disparityfilter_2.2.0.zip(r-4.3)
disparityfilter_2.2.0.tgz(r-4.4-any)disparityfilter_2.2.0.tgz(r-4.3-any)
disparityfilter_2.2.0.tar.gz(r-4.5-noble)disparityfilter_2.2.0.tar.gz(r-4.4-noble)
disparityfilter_2.2.0.tgz(r-4.4-emscripten)disparityfilter_2.2.0.tgz(r-4.3-emscripten)
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:

1 exports 10 stars 1.86 score 11 dependencies 2 mentions 12 scripts 155 downloads

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

TargetResultDate
Doc / VignettesOKSep 01 2024
R-4.5-winOKSep 01 2024
R-4.5-linuxOKSep 01 2024
R-4.4-winOKSep 01 2024
R-4.4-macOKSep 01 2024
R-4.3-winOKSep 01 2024
R-4.3-macOKSep 01 2024

Exports:backbone

Dependencies:clicpp11glueigraphlatticelifecyclemagrittrMatrixpkgconfigrlangvctrs