{"title":"复杂网络中信息传播集体行为的兴起研究","authors":"Shan Liu;Xiaoqing Wu","doi":"10.1109/TCSS.2024.3352611","DOIUrl":null,"url":null,"abstract":"Collective behavior frequently emerges in this dynamic and interconnected world, making in-depth research into its societal impacts both highly significant and challenging. The emergence and development of collective behavior in social systems are intricately linked to the dissemination of event information. A rational dissemination model needs to be constructed as a foundation for analysis, exploring factors influencing collective behavior, and predicting the onset of such behaviors. During the information dissemination progress, individual interactions are exceedingly intricate and subject to dynamic changes, some of which may even involve nonlinear mutations. Therefore, this article dissects interpersonal interactions into psychological and behavioral dimensions, and establish an emergency dissemination model, considering the coevolution of dissemination strategies, and dissemination behaviors. Additionally, the influence of the initial probability distribution on strategies, dissemination cost, and time decay coefficients on the propagation trends was examined through simulation analysis. Building upon this model, a methodology is proposed for predicting the emergence timepoint from four indicators. Empirical validation and analysis substantiate the proposed approach, affirming its rationality, advancement, and efficacy in addressing the research objectives.","PeriodicalId":13044,"journal":{"name":"IEEE Transactions on Computational Social Systems","volume":null,"pages":null},"PeriodicalIF":4.5000,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Emergence of Collective Behavior for Information Dissemination in Complex Networks\",\"authors\":\"Shan Liu;Xiaoqing Wu\",\"doi\":\"10.1109/TCSS.2024.3352611\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Collective behavior frequently emerges in this dynamic and interconnected world, making in-depth research into its societal impacts both highly significant and challenging. The emergence and development of collective behavior in social systems are intricately linked to the dissemination of event information. A rational dissemination model needs to be constructed as a foundation for analysis, exploring factors influencing collective behavior, and predicting the onset of such behaviors. During the information dissemination progress, individual interactions are exceedingly intricate and subject to dynamic changes, some of which may even involve nonlinear mutations. Therefore, this article dissects interpersonal interactions into psychological and behavioral dimensions, and establish an emergency dissemination model, considering the coevolution of dissemination strategies, and dissemination behaviors. Additionally, the influence of the initial probability distribution on strategies, dissemination cost, and time decay coefficients on the propagation trends was examined through simulation analysis. Building upon this model, a methodology is proposed for predicting the emergence timepoint from four indicators. Empirical validation and analysis substantiate the proposed approach, affirming its rationality, advancement, and efficacy in addressing the research objectives.\",\"PeriodicalId\":13044,\"journal\":{\"name\":\"IEEE Transactions on Computational Social Systems\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2024-01-25\",\"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/10414421/\",\"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/10414421/","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}
Research on Emergence of Collective Behavior for Information Dissemination in Complex Networks
Collective behavior frequently emerges in this dynamic and interconnected world, making in-depth research into its societal impacts both highly significant and challenging. The emergence and development of collective behavior in social systems are intricately linked to the dissemination of event information. A rational dissemination model needs to be constructed as a foundation for analysis, exploring factors influencing collective behavior, and predicting the onset of such behaviors. During the information dissemination progress, individual interactions are exceedingly intricate and subject to dynamic changes, some of which may even involve nonlinear mutations. Therefore, this article dissects interpersonal interactions into psychological and behavioral dimensions, and establish an emergency dissemination model, considering the coevolution of dissemination strategies, and dissemination behaviors. Additionally, the influence of the initial probability distribution on strategies, dissemination cost, and time decay coefficients on the propagation trends was examined through simulation analysis. Building upon this model, a methodology is proposed for predicting the emergence timepoint from four indicators. Empirical validation and analysis substantiate the proposed approach, affirming its rationality, advancement, and efficacy in addressing the research objectives.
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.