betweenness_network

betweenness_network.tna

This function builds a network from a transition matrix in a <code>tna</code> object
and computes edge betweenness for the network.

Provides tools for performing Transition Network Analysis (TNA) to
study relational dynamics, including functions for building and plotting TNA
models, calculating centrality measures, and identifying dominant events and
patterns. TNA statistical techniques (e.g., bootstrapping and permutation
tests) ensure the reliability of observed insights and confirm that
identified dynamics are meaningful. See (Saqr et al., 2025)
<doi:10.1145/3706468.3706513> for more details on TNA.

Sonsoles López-Pernas

Transition Network Analysis (TNA)

betweenness_network function

<dl><dt>x</dt>
<dd>A <code>tna</code> object.</dd>
<dt>directed</dt>
<dd>A <code>logical</code> value. If <code>TRUE</code>, the network is considered
directed.</dd>
<dt>invert</dt>
<dd>A <code>logical</code> value indicating whether the weights should be
inverted for distance-based measures. The default is <code>TRUE</code>.</dd></dl>

Arguments

Build and Visualize a Network with Edge Betweenness — betweenness_network

<dl>

<dt>x</dt>
<dd>A <code>tna</code> object.</dd>


<dt>directed</dt>
<dd>A <code>logical</code> value. If <code>TRUE</code>, the network is considered
directed.</dd>


<dt>invert</dt>
<dd>A <code>logical</code> value indicating whether the weights should be
inverted for distance-based measures. The default is <code>TRUE</code>.</dd>

</dl>

betweenness_network: Build and Visualize a Network with Edge Betweenness

Description

Usage

Value

Arguments

See Also

Examples