simulate_affiliation

Simulation, inference and clustering of multilevel networks using a
Stochastic Block Model framework as described in Chabert-Liddell, Barbillon,
Donnet and Lazega (2021) <doi:10.1016/j.csda.2021.107179>.
A multilevel network is defined as the junction of two interaction networks,
the upper level or inter-organizational level and the lower level or
inter-individual level. The inter-level represents an affiliation
relationship.

Saint-Clair Chabert-Liddell

MLVSBM

A Stochastic Block Model for Multilevel Networks

simulate_affiliation function

<dl><dt>n</dt>
<dd>An integer, the number of individuals</dd>
<dt>m</dt>
<dd>An integer, the number of organizations</dd>
<dt>affiliation</dt>
<dd>The type of affiliation between c("uniform", "preferential")</dd>
<dt>no_empty_org</dt>
<dd>A Boolean. Force all columns to have at least a 1.
Must have \(n&gt;m\).</dd></dl>

Arguments

Simulate of matrix of affiliation — simulate_affiliation

<dl>

<dt>n</dt>
<dd>An integer, the number of individuals</dd>


<dt>m</dt>
<dd>An integer, the number of organizations</dd>


<dt>affiliation</dt>
<dd>The type of affiliation between c("uniform", "preferential")</dd>


<dt>no_empty_org</dt>
<dd>A Boolean. Force all columns to have at least a 1.
Must have \(n&gt;m\).</dd>

</dl>

simulate_affiliation: Simulate of matrix of affiliation

Description

Usage

Value

Arguments