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Interplay between social influence and competitive strategical games in multiplex networks
Roberta Amato1,2, Albert Díaz-Guilera1,2, Kaj-Kolja Kleineberg3
1Departament de Fisica de la Matèria Condensada, Marti i Franques 1, Universitat de Barcelona, 08028, Barcelona, Spain.
Scientific Reports
|August 3, 2017
Summary
This study introduces a multiplex network model linking evolutionary game dynamics and social influence. The model demonstrates how this coupling promotes cooperation and can explain social polarization.
Area of Science:
- Complex Systems
- Game Theory
- Social Network Analysis
Background:
- Evolutionary game dynamics often predict defection in social dilemmas.
- Social influence is a key factor in shaping individual behavior.
- Understanding the interplay between these forces is crucial for explaining social phenomena.
Purpose of the Study:
- To model the coupled dynamics of evolutionary games and social influence.
- To investigate how multiplex network structures affect cooperation.
- To explain the emergence of social polarization.
Main Methods:
- Developed a model incorporating evolutionary game dynamics and social influence.
- Represented these processes as distinct layers within a multiplex network.
- Analyzed the impact of layer coupling and network structure on cooperation levels.
Main Results:
- Coupling game dynamics and social influence promotes cooperation, even when pure game dynamics predict defection.
- Network layer structure and inter-layer relationships significantly enhance cooperation.
- Specific layer relationships can lead to a polarized metastable state.
Conclusions:
- The proposed model provides a framework for understanding cooperation in social dilemmas.
- The findings offer a potential explanation for observed social polarization.
- Multiplex network analysis is valuable for studying complex social dynamics.
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