mam_Md

Perform the motif adjacency matrix calculations for motif Md

internal

Tools for spectral clustering of weighted directed networks using motif
adjacency matrices. Methods perform well on large and sparse networks, and
random sampling methods for generating weighted directed networks are also
provided. Based on methodology detailed in Underwood, Elliott and Cucuringu
(2020) <arXiv:2004.01293>.

William George Underwood

motifcluster

Motif-Based Spectral Clustering of Weighted Directed Networks

mam_Md function

<dl><dt>adj_mat</dt>
<dd>Adjacency matrix from which to build the motif
adjacency matrix.</dd>
<dt>mam_weight_type</dt>
<dd>The weighting scheme to use.
One of <code>"unweighted"</code>, <code>"mean"</code> or <code>"product"</code>.</dd></dl>

Arguments

Perform the motif adjacency matrix calculations for motif Md — mam_Md

<dl>

<dt>adj_mat</dt>
<dd>Adjacency matrix from which to build the motif
adjacency matrix.</dd>


<dt>mam_weight_type</dt>
<dd>The weighting scheme to use.
One of <code>"unweighted"</code>, <code>"mean"</code> or <code>"product"</code>.</dd>

</dl>

mam_Md: Perform the motif adjacency matrix calculations for motif Md

Description

Usage

Value

Arguments