Description
Disparity Filter Algorithm for Weighted Networks.
Description
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.
README.md
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 Sciences106 (16), 2009, doi:10.1073/pnas.0808904106. This implementation of the algorithm supports both directed and undirected networks.
Installation
Install the disparityfilter package from CRAN:
install.packages("disparityfilter")
Or install it from GitHub with the devtools package:
devtools::install_github("alessandrobessi/disparityfilter")
Usage
The algorithm is implemented by the backbone function:
library(disparityfilter)
?backbone