c_rs_table

Given two membership vectors, returns the corresponding contingency table.
we assume the labels are &gt;=1 and numbered consecutively. If not consecutive
(some labels are unused) this implementation still works, but will be less
efficient.

internal

Evaluates the stability and significance of clusters on 'igraph' graphs.
Supports weighted and unweighted graphs. Implements the cluster evaluation methods
defined by Arratia A, Renedo M (2021) <doi:10.7717/peerj-cs.600>. Also includes an
implementation of the Reduced Mutual Information introduced by Newman et al. (2020)
<doi:10.1103/PhysRevE.101.042304>.

Martc3<ad> Mirambell

clustAnalytics

Cluster Evaluation on Graphs

c_rs_table function

<dl><dt>c1, c2</dt>
<dd>membership vectors (integer values containing the index of each community)</dd></dl>

Arguments

Contingency table from membership vectors — c_rs_table

<dl>

<dt>c1, c2</dt>
<dd>membership vectors (integer values containing the index of each community)</dd>

</dl>

c_rs_table: Contingency table from membership vectors

Description

Usage

Arguments