A two-layer model for coevolving opinion dynamics and collective decision-making in complex social systems

Area of Science:

• Complex Systems Science
• Social Network Analysis
• Mathematical Modeling

Background:

• Existing research on opinion dynamics and evolutionary game theory lacks a unified framework for coevolving opinions and decision-making.
• Social interactions occur through communication (opinions) and observation (actions), forming intricate network structures.

Purpose of the Study:

• To develop a novel mathematical framework modeling the intertwined coevolution of opinions and decision-making in social systems.
• To apply this framework to understand the adoption of new social norms and emergent collective behaviors.

Main Methods:

• Development of a two-layer network structure representing communication and influence channels.
• Analytical derivations of conditions for emergent phenomena.
• Monte Carlo numerical simulations to validate model predictions.

Main Results:

• The proposed framework successfully captures the emergence of collective phenomena, including paradigm shifts and the adoption of unpopular norms.
• Demonstrates the critical role of coupling between opinion dynamics and decision-making.
• Highlights the influence of network structure on the emergence of complex social behaviors.

Conclusions:

• The novel mathematical framework provides a robust tool for studying social dynamics.
• The interplay between opinion and action, mediated by network structure, is key to understanding collective behavior.
• The model offers insights into the formation and persistence of social norms.