{"title":"网络进化囚徒困境博弈中的社区互惠促进合作","authors":"Lin Li, Jingyu Lv, Lili Ma, Jing Ruan","doi":"10.1016/j.amc.2025.129497","DOIUrl":null,"url":null,"abstract":"<div><div>Community structure is one of the most common features of complex networks and plays a crucial role in the game of strategy during an evolutionary process. Previous works focus on its physical characteristics of high cohesion and low coupling, we extend the existing research, by taking into consideration the capacity of communities to effectively manage and allocate resources through collective action, from a logical functional perspective. Based on the Prisoner’s Dilemma Game, we develop a new evolutionary model featuring community reciprocity. In particular, we assume that players could obtain the shared resources contributed by cooperators from communities with a certain probability, and the quantity of reciprocal resources players could reap depends on their positions in the community. Through intensive simulations on two famous synthetic networks with built-in community structure, the results show that community structure can provide enhanced reciprocity and promote the evolution of cooperation. The way that cooperation prospers is by occupying nodes with more advantageous positions within the community. Besides, the clarity of community structure mediates the promoting effect of community reciprocity on cooperation.</div></div>","PeriodicalId":55496,"journal":{"name":"Applied Mathematics and Computation","volume":"502 ","pages":"Article 129497"},"PeriodicalIF":3.5000,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Community reciprocity promotes cooperation in a network evolutionary prisoner’s dilemma game\",\"authors\":\"Lin Li, Jingyu Lv, Lili Ma, Jing Ruan\",\"doi\":\"10.1016/j.amc.2025.129497\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Community structure is one of the most common features of complex networks and plays a crucial role in the game of strategy during an evolutionary process. Previous works focus on its physical characteristics of high cohesion and low coupling, we extend the existing research, by taking into consideration the capacity of communities to effectively manage and allocate resources through collective action, from a logical functional perspective. Based on the Prisoner’s Dilemma Game, we develop a new evolutionary model featuring community reciprocity. In particular, we assume that players could obtain the shared resources contributed by cooperators from communities with a certain probability, and the quantity of reciprocal resources players could reap depends on their positions in the community. Through intensive simulations on two famous synthetic networks with built-in community structure, the results show that community structure can provide enhanced reciprocity and promote the evolution of cooperation. The way that cooperation prospers is by occupying nodes with more advantageous positions within the community. Besides, the clarity of community structure mediates the promoting effect of community reciprocity on cooperation.</div></div>\",\"PeriodicalId\":55496,\"journal\":{\"name\":\"Applied Mathematics and Computation\",\"volume\":\"502 \",\"pages\":\"Article 129497\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2025-05-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Mathematics and Computation\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0096300325002231\",\"RegionNum\":2,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Mathematics and Computation","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0096300325002231","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
Community reciprocity promotes cooperation in a network evolutionary prisoner’s dilemma game
Community structure is one of the most common features of complex networks and plays a crucial role in the game of strategy during an evolutionary process. Previous works focus on its physical characteristics of high cohesion and low coupling, we extend the existing research, by taking into consideration the capacity of communities to effectively manage and allocate resources through collective action, from a logical functional perspective. Based on the Prisoner’s Dilemma Game, we develop a new evolutionary model featuring community reciprocity. In particular, we assume that players could obtain the shared resources contributed by cooperators from communities with a certain probability, and the quantity of reciprocal resources players could reap depends on their positions in the community. Through intensive simulations on two famous synthetic networks with built-in community structure, the results show that community structure can provide enhanced reciprocity and promote the evolution of cooperation. The way that cooperation prospers is by occupying nodes with more advantageous positions within the community. Besides, the clarity of community structure mediates the promoting effect of community reciprocity on cooperation.
期刊介绍:
Applied Mathematics and Computation addresses work at the interface between applied mathematics, numerical computation, and applications of systems – oriented ideas to the physical, biological, social, and behavioral sciences, and emphasizes papers of a computational nature focusing on new algorithms, their analysis and numerical results.
In addition to presenting research papers, Applied Mathematics and Computation publishes review articles and single–topics issues.