colSBM is an R package which implements methods for clustering and inferring the mesoscale structure for collection of networks. In particular, it allows to:

• Find a common mesoscale structure in a collection of networks by using a Stochastic Block Model (SBM) extension for the joint modeling of collection of networks.

• Provide a clustering of the nodes of each networks. Classifies networks in groups of networks with similar mesoscale structures.

Mathematical details of the methods as well as simulation studies and applications can be find in Chabert-Liddell, Barbillon, and Donnet (2022) .

## Installation

You can install the development version of colSBM from GitHub with:

# install.packages("devtools")
devtools::install_github("Chabert-Liddell/colSBM")

# References

Chabert-Liddell, Saint-Clair, Pierre Barbillon, and Sophie Donnet. 2022. “Learning Common Structures in a Collection of Networks. An Application to Food Webs.” arXiv Preprint arXiv:2206.00560.