centrality_modified_expected_force

Multiplies the two-event Expected Force by the logarithm of alpha times
seed degree (Lawyer 2015, equation 2). Alpha defaults to two, as in the
paper, and must be finite and strictly greater than one. Directed input
uses outgoing degree, consistent with the outgoing transmission process.
An isolate scores zero without evaluating the logarithm of zero.
All graph, event-counting and zero-force conventions of
<code>centrality_expected_force</code> apply. Native log addition avoids
overflow when alpha times degree cannot be represented.

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

centrality_modified_expected_force function

<dl><dt>x</dt>
<dd>Network input accepted by <code>centrality</code>.</dd>
<dt>exf_alpha</dt>
<dd>Degree rescaling factor, default two, finite and greater
than one. The paper motivates small values; larger finite values are
permitted by the formula without a predictive-performance claim.</dd>
<dt>...</dt>
<dd>Additional arguments to <code>centrality</code>.
<code>normalized = TRUE</code> divides by the maximum score; all-zero
results remain zero.</dd></dl>

Arguments

Modified Expected Force centrality — centrality_modified_expected_force

<dl>

<dt>x</dt>
<dd>Network input accepted by <code>centrality</code>.</dd>


<dt>exf_alpha</dt>
<dd>Degree rescaling factor, default two, finite and greater
than one. The paper motivates small values; larger finite values are
permitted by the formula without a predictive-performance claim.</dd>


<dt>...</dt>
<dd>Additional arguments to <code>centrality</code>.
<code>normalized = TRUE</code> divides by the maximum score; all-zero
results remain zero.</dd>

</dl>

centrality_modified_expected_force: Modified Expected Force centrality

Description

Usage

Value

Arguments

References

Examples