alessandrobessi/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.

Getting started

Package details

Maintainer
LicenseGPL (>= 2)
Version2.2.0
URL https://github.com/alessandrobessi/disparityfilter
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("alessandrobessi/disparityfilter")
alessandrobessi/disparityfilter documentation built on May 10, 2017, 11:13 p.m.