dummy_net

A simple statnet network object based on dummy data.

datasets

Tools for motif analysis in multi-level networks.
Multi-level networks combine multiple networks in one, e.g.
social-ecological networks. Motifs are small configurations of nodes
and edges (subgraphs) occurring in networks. 'motifr' can visualize
multi-level networks, count multi-level network motifs and compare
motif occurrences to baseline models. It also identifies contributions
of existing or potential edges to motifs to find critical or missing
edges. The package is in many parts an R wrapper for the excellent
'SESMotifAnalyser' 'Python' package written by Tim Seppelt.

Mario Angst

motifr

Motif Analysis in Multi-Level Networks

Tim Seppelt

dummy_net function

Statnet network object with 60 nodes and 1035 edges on three levels.
The network contains two variables to describe nodes/ vertices.<dl class="dl-horizontal">
 <dt>vertex.names</dt><dd>node labes</dd>
 <dt>sesType</dt><dd>Categorical variable specifying network levels for every node (levels are 0,1 and 2)</dd>
 ...
</dl>

Format

Three-level network dummy example — dummy_net

Statnet network object with 60 nodes and 1035 edges on three levels.
The network contains two variables to describe nodes/ vertices.<dl class='dl-horizontal'>
 <dt>vertex.names</dt><dd>node labes</dd>
 <dt>sesType</dt><dd>Categorical variable specifying network levels for every node (levels are 0,1 and 2)</dd>
 ...
</dl>

dummy_net: Three-level network dummy example

Description

Usage

Arguments

Format

Examples