A two-layer model for coevolving opinion dynamics and collective decision-making in complex social systems
arXiv:2102.09285 · doi:10.1063/5.0004787
Abstract
Motivated by the literature on opinion dynamics and evolutionary game theory, we propose a novel mathematical framework to model the intertwined coevolution of opinions and decision-making in a complex social system. In the proposed framework, the members of a social community update their opinions and revise their actions as they learn of others' opinions shared on a communication channel, and observe of others' actions through an influence channel; these interactions determine a two-layer network structure. We offer an application of the proposed framework by tailoring it to study the adoption of a novel social norm, demonstrating that the model is able to capture the emergence of several real-world collective phenomena such as paradigm shifts and unpopular norms. Through the establishment of analytical conditions and Monte Carlo numerical simulations, we shed light on the role of the coupling between opinion dynamics and decision-making, and of the network structure, in shaping the emergence of complex collective behavior in social systems.
This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in Chaos 30, 083107 (2020) and may be found at https://doi.org/10.1063/5.0004787
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Cited by in corpus (5)
- Coevolutionary Dynamics of Actions and Opinions in Social Networks
- Opinion polarisation in social networks
- Data-informed modeling of the formation, persistence, and evolution of social norms and conventions
- Coevolution of Actions and Opinions in Networks of Coordinating and Anti-Coordinating Agents
- Evolutionary dynamics of collective decision-making with local social influence on static and dynamic networks