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.

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`