Cluster Configurations of the Hegselmann-Krause Model on Network Ensembles

Simulation data from a preprint on the Hegselmann-Krause opinion dynamics model across seven network types, including fully connected, Barabasi-Albert, and square lattices. Hendrik Schawe from the Centre National de la Recherche Scientifique provides 1000 samples per parameter combination for confidence values ranging from 0.0 to 0.6. Each archived file contains final simulation states with convergence times, cluster positions, and agent counts.

Use Cases

• Analyzing final opinion cluster configurations based on confidence parameter epsilon.
• Comparing convergence times across different network topologies like Barabasi-Albert and square lattices.
• Studying the effect of network rewiring on opinion dynamics using the lat3_ws ensemble.
• Investigating the relationship between system size (N_max up to 262,144) and the number of stable clusters.

Strengths

• Includes 1000 simulation samples per parameter combination for statistical reliability.
• Covers seven distinct network ensembles, enabling comparative analysis.
• Provides data for large system sizes, with N_max up to 262,144 for the fully connected case.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Centre National de la Recherche Scientifique

Collection Method

Agent-based simulation of the Hegselmann-Krause model across predefined network ensembles.