{"title":"基于谣言、反谣言、正谣言和动态博弈的信息传播动态模型","authors":"Qian Li;Long Gao;Xiaole Guo;Xinhong Wu;Rong Wang;Yunpeng Xiao","doi":"10.1109/TCSS.2024.3465023","DOIUrl":null,"url":null,"abstract":"The propagation of Internet rumors has complex dynamics. The traditional propagation model, based mainly on rumor and antirumor messages, provides a static analysis of the rumor propagation situation. This article introduces the concept of a prom-rumor (promoting rumor) message and thoroughly investigates competition and cooperation among multitype rumor messages. First, we employ a multiple linear regression method to construct the information influence mechanism by extracting network structure, topic content information, and historical behavior information, considering the complexity of spreading multitype compound rumor messages. Then, we introduce game theory and formulate a game strategy to capture the competition and cooperation among rumors, antirumors, and prom-rumors. Furthermore, we consider the interactivity in multitype compound rumor messages and combine the dynamic game to construct the driving mechanism of rumors, antirumors, and prom-rumors. Finally, we define the user-state transfer equation and propose a dynamic model of information propagation based on rumors, antirumors, prom-rumors, and the dynamic game while considering the multidimensionality and polymorphism of multitype compound rumor messages and combining mean-field theory and the infectious disease model. In validation experiments on real-life data, the model accurately captures the game propagation process of the multitype rumors and predicts the propagation trends in rumor networks.","PeriodicalId":13044,"journal":{"name":"IEEE Transactions on Computational Social Systems","volume":"12 1","pages":"376-389"},"PeriodicalIF":4.5000,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Information Propagation Dynamic Model Based on Rumors, Antirumors, Prom-Rumors, and the Dynamic Game\",\"authors\":\"Qian Li;Long Gao;Xiaole Guo;Xinhong Wu;Rong Wang;Yunpeng Xiao\",\"doi\":\"10.1109/TCSS.2024.3465023\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The propagation of Internet rumors has complex dynamics. The traditional propagation model, based mainly on rumor and antirumor messages, provides a static analysis of the rumor propagation situation. This article introduces the concept of a prom-rumor (promoting rumor) message and thoroughly investigates competition and cooperation among multitype rumor messages. First, we employ a multiple linear regression method to construct the information influence mechanism by extracting network structure, topic content information, and historical behavior information, considering the complexity of spreading multitype compound rumor messages. Then, we introduce game theory and formulate a game strategy to capture the competition and cooperation among rumors, antirumors, and prom-rumors. Furthermore, we consider the interactivity in multitype compound rumor messages and combine the dynamic game to construct the driving mechanism of rumors, antirumors, and prom-rumors. Finally, we define the user-state transfer equation and propose a dynamic model of information propagation based on rumors, antirumors, prom-rumors, and the dynamic game while considering the multidimensionality and polymorphism of multitype compound rumor messages and combining mean-field theory and the infectious disease model. In validation experiments on real-life data, the model accurately captures the game propagation process of the multitype rumors and predicts the propagation trends in rumor networks.\",\"PeriodicalId\":13044,\"journal\":{\"name\":\"IEEE Transactions on Computational Social Systems\",\"volume\":\"12 1\",\"pages\":\"376-389\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2024-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Computational Social Systems\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10713453/\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, CYBERNETICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Computational Social Systems","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10713453/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, CYBERNETICS","Score":null,"Total":0}
Information Propagation Dynamic Model Based on Rumors, Antirumors, Prom-Rumors, and the Dynamic Game
The propagation of Internet rumors has complex dynamics. The traditional propagation model, based mainly on rumor and antirumor messages, provides a static analysis of the rumor propagation situation. This article introduces the concept of a prom-rumor (promoting rumor) message and thoroughly investigates competition and cooperation among multitype rumor messages. First, we employ a multiple linear regression method to construct the information influence mechanism by extracting network structure, topic content information, and historical behavior information, considering the complexity of spreading multitype compound rumor messages. Then, we introduce game theory and formulate a game strategy to capture the competition and cooperation among rumors, antirumors, and prom-rumors. Furthermore, we consider the interactivity in multitype compound rumor messages and combine the dynamic game to construct the driving mechanism of rumors, antirumors, and prom-rumors. Finally, we define the user-state transfer equation and propose a dynamic model of information propagation based on rumors, antirumors, prom-rumors, and the dynamic game while considering the multidimensionality and polymorphism of multitype compound rumor messages and combining mean-field theory and the infectious disease model. In validation experiments on real-life data, the model accurately captures the game propagation process of the multitype rumors and predicts the propagation trends in rumor networks.
期刊介绍:
IEEE Transactions on Computational Social Systems focuses on such topics as modeling, simulation, analysis and understanding of social systems from the quantitative and/or computational perspective. "Systems" include man-man, man-machine and machine-machine organizations and adversarial situations as well as social media structures and their dynamics. More specifically, the proposed transactions publishes articles on modeling the dynamics of social systems, methodologies for incorporating and representing socio-cultural and behavioral aspects in computational modeling, analysis of social system behavior and structure, and paradigms for social systems modeling and simulation. The journal also features articles on social network dynamics, social intelligence and cognition, social systems design and architectures, socio-cultural modeling and representation, and computational behavior modeling, and their applications.