regulation_net

<p>A synthetic weighted transition network among ten learning regulation
states, used in the package examples and the introduction vignette. Each
cell holds the weight of the transition from the row state to the column
state.</p>

datasets

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

regulation_net function

<p>A 10 x 10 numeric matrix with row and column names <code>Explore</code>,
<code>Plan</code>, <code>Monitor</code>, <code>Adapt</code>, <code>Reflect</code>, <code>Discuss</code>,
<code>Synthesize</code>, <code>Evaluate</code>, <code>Create</code> and <code>Share</code>. Thirty
of the 90 off-diagonal cells carry weights between 0.05 and 0.49; the
remaining cells, including the diagonal, are zero.</p>

regulation_net: Learning Regulation Transition Network

Description

Usage

Arguments

Value

Format

Details

Examples