extractClustersMBM

Extract the clusters in each functional group

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>.

Sophie Donnet

GREMLINS

Generalized Multipartite Networks

Pierre Barbillon

extractClustersMBM function

<dl><dt>resMBM</dt>
<dd>A fitted Generalized BlockModel</dd>
<dt>whichModel</dt>
<dd>The index corresponding to the model to plot (default is 1, the best model)</dd></dl>

Arguments

Extract the clusters in each functional group — extractClustersMBM

<dl>

<dt>resMBM</dt>
<dd>A fitted Generalized BlockModel</dd>


<dt>whichModel</dt>
<dd>The index corresponding to the model to plot (default is 1, the best model)</dd>

</dl>

extractClustersMBM: Extract the clusters in each functional group

Description

Usage

Value

Arguments