The effects of dynamic peer pressure on the evolution of cooperation in complex networks

IF 3.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Physica A: Statistical Mechanics and its Applications Pub Date : 2025-02-26 DOI:10.1016/j.physa.2025.130489
Lin Li, Jingyu Lv, Jing Ruan, Lili Ma
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Abstract

In collective life, individuals find it difficult to avoid being influenced by their environment. In the spatial evolutionary game, the surrounding peers constitute the local environment of individuals. The difference in strategy from peers can make individuals feel pressure, which affects the evolution of cooperation by altering individuals’ behavioural decision-making. However, previous studies on the effects of peer pressure on cooperation have primarily focused on oversimplified network structures and assumed constant pressure sensitivity among all players, which has limited our understanding of the impact of peer pressure on the evolution of cooperation in more complex environments. This paper presents an evolutionary game model in which individual’s sensitivity to pressure is different from each other and dynamically adjusted with the change of strategies among the surroundings, capturing a more realistic portrayal of social influence and psychological factors. We examine how the dynamic sensitivities and the intensity of peer pressure affect the evolutionary dynamics by conducting the simulations on both Watts-Strogatz (WS) network and Barabási-Albert (BA) network. Our findings reveal that peer pressure with dynamic sensitivity exhibits completely different effects on cooperation for the WS and BA network, that is, it can greatly enhance cooperation on the WS network while inhibiting cooperation on the BA network. Besides, a lower level of pressure intensity can be more conductive to the evolution of cooperation, whether in WS network or BA network.
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动态同伴压力对复杂网络中合作演化的影响
在集体生活中,个体很难避免受到环境的影响。在空间进化博弈中,周围的同伴构成了个体的局部环境。同伴策略的差异会使个体感受到压力,从而通过改变个体的行为决策来影响合作的进化。然而,以往关于同伴压力对合作影响的研究主要集中在过于简化的网络结构上,并假设所有参与者都具有恒定的压力敏感性,这限制了我们对更复杂环境下同伴压力对合作进化影响的理解。本文提出了个体对压力的敏感性是不同的,并随着环境中策略的变化而动态调整的进化博弈模型,更真实地反映了社会影响和心理因素。通过对Watts-Strogatz (WS)网络和Barabási-Albert (BA)网络的模拟,研究了同伴压力的动态敏感性和强度对进化动力学的影响。我们的研究结果表明,具有动态敏感性的同伴压力对WS网络和BA网络的合作表现出完全不同的影响,即它可以极大地促进WS网络的合作,而抑制BA网络的合作。此外,无论是WS网络还是BA网络,较低的压力强度水平更有利于合作的演化。
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来源期刊
CiteScore
7.20
自引率
9.10%
发文量
852
审稿时长
6.6 months
期刊介绍: Physica A: Statistical Mechanics and its Applications Recognized by the European Physical Society Physica A publishes research in the field of statistical mechanics and its applications. Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents. Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.
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