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, doi:10.1073/pnas.0808904106. This implementation of the algorithm supports both directed and undirected networks.
Install the disparityfilter
package from CRAN:
install.packages("disparityfilter")
Or install it from GitHub with the devtools
package:
devtools::install_github("alessandrobessi/disparityfilter")
The algorithm is implemented by the backbone
function:
library(disparityfilter)
?backbone
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.