motif_summary

<p>character vector specifying the attribute name where level
information is stored in <code>net</code>.</p>

lvl_attr

<p>Returns a data frame with counts and statistical properties (expectation,
variances) of six selected motifs in the given network. Note that this
function implicitly assumes that the network is undirected, cf.
<code>motifr::to_py_graph</code>.</p>

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

motif_summary: Summary for motif counts and Erd<U+0151>s-R<U+00E9>nyi distribution

Description

Usage

Arguments

Value

Examples