复杂网络中信息传播集体行为的兴起研究

IF 4.5 2区 计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS IEEE Transactions on Computational Social Systems Pub Date : 2024-01-25 DOI:10.1109/TCSS.2024.3352611
Shan Liu;Xiaoqing Wu
{"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}
引用次数: 0

摘要

在这个充满活力、相互联系的世界里,集体行为频频出现,因此深入研究其社会影响既意义重大,又极具挑战性。社会系统中集体行为的产生和发展与事件信息的传播密切相关。需要构建合理的传播模型作为分析基础,探索影响集体行为的因素,预测集体行为的发生。在信息传播过程中,个体间的互动关系错综复杂,并会发生动态变化,有些甚至会涉及非线性突变。因此,本文将人际互动分为心理和行为两个维度,并建立了一个应急传播模型,考虑了传播策略和传播行为的共同演化。此外,还通过模拟分析研究了策略的初始概率分布、传播成本和时间衰减系数对传播趋势的影响。在这一模型的基础上,提出了从四个指标预测出现时间点的方法。实证验证和分析证实了所提出的方法,肯定了其在实现研究目标方面的合理性、先进性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
IEEE Transactions on Computational Social Systems
IEEE Transactions on Computational Social Systems Social Sciences-Social Sciences (miscellaneous)
CiteScore
10.00
自引率
20.00%
发文量
316
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.
期刊最新文献
Table of Contents Guest Editorial: Special Issue on Dark Side of the Socio-Cyber World: Media Manipulation, Fake News, and Misinformation IEEE Transactions on Computational Social Systems Publication Information IEEE Transactions on Computational Social Systems Information for Authors IEEE Systems, Man, and Cybernetics Society Information
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1