print.group_tna

Print a <code>group_tna</code> Object

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)

print.group_tna function

<dl><dt>x</dt>
<dd>A <code>group_tna</code> object.</dd>
<dt>...</dt>
<dd>Arguments passed to <code>print.tna()</code>.</dd></dl>

Arguments

Print a group_tna Object — print.group_tna

<dl>

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


<dt>...</dt>
<dd>Arguments passed to <code>print.tna()</code>.</dd>

</dl>

print.group_tna: Print a `group_tna` Object

Description

Usage

Value

Arguments

See Also

Examples