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 is documented in 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.

Version: 2.2.3
Depends: R (≥ 3.1.1), igraph (≥ 1.0.0)
Suggests: testthat
Published: 2016-04-19
Author: Alessandro Bessi [aut, cre], Francois Briatte [aut]
Maintainer: Alessandro Bessi <alessandro.bessi at iusspavia.it>
BugReports: https://github.com/alessandrobessi/disparityfilter/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/alessandrobessi/disparityfilter
NeedsCompilation: no
Materials: README
CRAN checks: disparityfilter results


Reference manual: disparityfilter.pdf
Package source: disparityfilter_2.2.3.tar.gz
Windows binaries: r-devel: disparityfilter_2.2.3.zip, r-release: disparityfilter_2.2.3.zip, r-oldrel: disparityfilter_2.2.3.zip
OS X Mavericks binaries: r-release: disparityfilter_2.2.3.tgz, r-oldrel: disparityfilter_2.2.3.tgz
Old sources: disparityfilter archive


Please use the canonical form https://CRAN.R-project.org/package=disparityfilter to link to this page.