centrality_percolation

Importance for spreading processes using node states. Each node has
a state (0-1) representing how activated it is. When all states are
equal, equivalent to betweenness.

Provides tools for the analysis, visualization, and manipulation
of dynamical, social (Saqr et al. (2024) <doi:10.1007/978-3-031-54464-4_10>) and
complex networks (Saqr et al. (2025) <doi:10.1145/3706468.3706513>). The package
supports multiple network formats and offers flexible tools for heterogeneous,
multi-layer, and hierarchical network analysis with simple syntax and
extensive toolset.

Sonsoles López-Pernas

cograph

Analysis and Visualization of Complex Networks

Mohammed Saqr

Santtu Tikka

centrality_percolation function

<dl><dt>x</dt>
<dd>Network input (matrix, igraph, network, cograph_network, tna object).</dd>
<dt>states</dt>
<dd>Named numeric vector of node states (0-1). Default <code>NULL</code>
(all nodes get state 1).</dd>
<dt>...</dt>
<dd>Additional arguments passed to <code>centrality</code> (e.g.,
<code>weighted</code>, <code>directed</code>).</dd></dl>

Arguments

Percolation Centrality — centrality_percolation

<dl>

<dt>x</dt>
<dd>Network input (matrix, igraph, network, cograph_network, tna object).</dd>


<dt>states</dt>
<dd>Named numeric vector of node states (0-1). Default <code>NULL</code>
(all nodes get state 1).</dd>


<dt>...</dt>
<dd>Additional arguments passed to <code>centrality</code> (e.g.,
<code>weighted</code>, <code>directed</code>).</dd>

</dl>

centrality_percolation: Percolation Centrality

Description

Usage

Value

Arguments

See Also

Examples