{"title":"The selective imitation based on influence mechanism in evolutionary dynamics of the Prisoner’s dilemma game","authors":"Xinran Zhang, Qianwei Zhang, Jiaqi Liu","doi":"10.1016/j.physa.2025.130410","DOIUrl":null,"url":null,"abstract":"<div><div>In this paper, we propose a novel influence mechanism and investigate the evolutionary dynamics of the Prisoner’s Dilemma on a square-lattice network. Participants are categorized as influential and ordinary groups based on a predetermined ratio, with their influence measured by a weighted sum of payoffs and reputation. Different from the assumption of random imitation in the existing research, we posit that participants, referred to as focal players, are more likely to imitate influential individuals. We use an improved Fermi function to calculate the probability of this strategic imitation. The simulation results indicate that the distribution of weights for influence values, the proportion of influential players, and the probability of influential participants selected by focal players all significantly influence the frequency of cooperation. Among these factors, the probability of selecting influential players serves as the primary determinant. This study presents a novel analytical methodology to exploit the impact of influential individuals in order to augment group cooperation within real-world scenarios.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"661 ","pages":"Article 130410"},"PeriodicalIF":2.8000,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physica A: Statistical Mechanics and its Applications","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378437125000627","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PHYSICS, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we propose a novel influence mechanism and investigate the evolutionary dynamics of the Prisoner’s Dilemma on a square-lattice network. Participants are categorized as influential and ordinary groups based on a predetermined ratio, with their influence measured by a weighted sum of payoffs and reputation. Different from the assumption of random imitation in the existing research, we posit that participants, referred to as focal players, are more likely to imitate influential individuals. We use an improved Fermi function to calculate the probability of this strategic imitation. The simulation results indicate that the distribution of weights for influence values, the proportion of influential players, and the probability of influential participants selected by focal players all significantly influence the frequency of cooperation. Among these factors, the probability of selecting influential players serves as the primary determinant. This study presents a novel analytical methodology to exploit the impact of influential individuals in order to augment group cooperation within real-world scenarios.
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.