Entropy production on cooperative opinion dynamics

CHAOS SOLITONS & FRACTALS(2024)

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摘要
As one of the most widespread social dynamics, cooperative behavior is among the most fascinating collective phenomena. Several animal species, from social insects to human beings, feature social groups altruistically working for a common benefit. This collaborative conduct pervades the actions and opinions of individuals, yielding strategic decision -making between political, religious, ethnic, and economic social puzzles. Here, we explore how cooperative behavior phenomena impact collective opinion dynamics and entropy generation in social groups. We select a random fraction f of community members as collaborative individuals and model the opinion dynamics using a social temperature parameter q that functions as a social anxiety noise. With probability q, regular individuals oppose their companions about a social decision, assuming group dissent. Collaborative agents experience a reduced effective social noise mu q, where 0 < < 1 is the social anxiety noise sensibility parameter that enhances social validation. We perform numerical simulations and mean -field analysis and find the system undergoes nonequilibrium order-disorder phase transitions with expressive social entropy production. Our results highlight the effects of a social anxiety attenuation level in improving group consensus and the emergence of cooperative dynamics as a natural maximization of entropy production in noisy social groups, thus inducing exuberant collective phenomena in complex systems.
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关键词
Complex systems,Consensus dynamics,Phase transition,Critical phenomena
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