Statistical complexity as a diagnostic of critical behavior in a 2D Sznajd model
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View abstract on PubMed
Summary
This summary is machine-generated.A novel third ideology emerges spontaneously in a two-dimensional Sznajd model due to agent interactions. A critical social apathy level dictates opinion dominance and complex collective dynamics.
Area Of Science
- Sociophysics
- Computational Social Science
- Agent-Based Modeling
Background
- The Sznajd model is a well-established framework for studying opinion dynamics.
- Previous models often assume fixed agent states or predefined ideological positions.
Purpose Of The Study
- To investigate the spontaneous emergence of a third ideological position in a 2D Sznajd model.
- To analyze the impact of social apathy on opinion dominance and system dynamics.
- To characterize the collective behavior using complexity-entropy analysis.
Main Methods
- Simulation of a two-dimensional Sznajd model with emergent third ideology.
- Analysis of system behavior as a function of social apathy (fraction of nonparticipating agents).
- Quantification of disorder-structure interplay using the complexity-entropy plane.
Main Results
- A third ideological position emerges spontaneously from local agent interactions, not predefined states.
- A critical apathy threshold was identified, separating distinct opinion dominance regimes.
- The system demonstrates robustness to asymmetries in initial conditions.
- Statistical complexity peaks near the transition region, indicating rich collective dynamics.
Conclusions
- Agent interactions alone can lead to the emergence of novel ideological positions.
- Social apathy is a critical parameter controlling opinion dynamics and system complexity.
- The complexity-entropy plane effectively characterizes the transition to complex collective behavior.
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