Generalized Multipartite Networks
Compare two classifications on all the Functional groups
compute the Integrated likeilhood and the ICL criteria for the MBM
Define a network providing its matrix of interactions and specifying t...
Extract the clusters in each functional group
Adjusting an extended SBM to Multipartite networks
Model selection and parameter estimation of MBM
Model selection and estimation of multipartite blockmodels
Predict NAs in a Collection of Networks from a fitted MBM
Simulate datasets from the multipartite block model (MBM).
We define generalized multipartite networks as the joint observation of several networks implying some common pre-specified groups of individuals. The aim is to fit an adapted version of the popular stochastic block model to multipartite networks, as described in Bar-hen, Barbillon and Donnet (2020) <arXiv:1807.10138>.