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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 |
| macOS binaries: | r-release (arm64): disparityfilter_2.2.3.tgz, r-oldrel (arm64): disparityfilter_2.2.3.tgz, r-release (x86_64): disparityfilter_2.2.3.tgz, r-oldrel (x86_64): disparityfilter_2.2.3.tgz |
| Old sources: | disparityfilter archive |
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