triangle_participation_ratio_communities

Computes the triangle participation ratio (proportion of vertices that belong 
to a triangle). The computation is done to the subgraphs induced by each of 
the communities in the given partition.

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

triangle_participation_ratio_communities function

<dl><dt>g</dt>
<dd>The input graph (as an igraph object). Edge weights and directions are ignored.</dd>
<dt>com</dt>
<dd>Community membership vector. Each element corresponds to a vertex
of the graph, and contains the index of the community it belongs to.</dd></dl>

Arguments

Triangle Participation Ratio (community-wise) — triangle_participation_ratio_communities

<dl>

<dt>g</dt>
<dd>The input graph (as an igraph object). Edge weights and directions are ignored.</dd>


<dt>com</dt>
<dd>Community membership vector. Each element corresponds to a vertex
of the graph, and contains the index of the community it belongs to.</dd>

</dl>

triangle_participation_ratio_communities: Triangle Participation Ratio (community-wise)

Description

Usage

Value

Arguments