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基于突发公共事件的信息传播动力学模型与舆情演化研究 被引量:9

Study on Information Propagation Dynamics Model and Opinion Evolution Based on Public Emergencies
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摘要 针对突发公共事件信息传播传统演化模型未引入动态参数等问题,结合传播动力学提出了一种动态扩散网络突发公共事件的信息舆情演化系统与数学模型。首先对突发公共事件信息传播进行了分析与设计;其次对动态扩散网络进行了设计,并结合动力学构建了突发公共事件信息传播数学模型;最后对模型进行仿真分析,并与现实社会真实统计数据进行实证对比。结果表明:仿真结果数据与真实监测数据的相似度为0.838 6,相关系数为0.827 9;提出的数学模型揭示了微观个体信息与舆情传播的内在规律,与真实事件传播过程相吻合,证明了构建的模型是合理、有效的。 Aiming at the problem that the traditional evolutionary model of information dissemination for public emergencies does not introduce dynamic parameters,this paper proposed a dynamic diffusion system for public event information public opinion evolution and mathematical model based on propagation dynamics.Firstly,the information dissemination of public emergencies is analyzed and disigned.Secondly,the dynamic diffusion network is designed and combined with the dynamics to construct the mathematical model of public emergency information propagation.Finally,the model is simulated and analyzed,and compared with real social statistics.The results show that the similarity between experimental data and real data is 0.838 6,and the correlation coefficient is 0.827 9.The proposed model reveals the inherent laws of micro-individual information exchange and public opinion transmission,and is consistent with the process of real event propagation,which prove that the proposed model is reasonable and effective.
作者 刘小洋 何道兵 LIU Xiao-yang;HE Dao-bing(School of Computer Science and Engineering,Chongqing University of Technology,Chongqing 400054,China)
出处 《计算机科学》 CSCD 北大核心 2019年第5期320-326,共7页 Computer Science
基金 国家社会科学基金项目(17XXW004) 教育部人文社会科学研究青年基金项目(16YJC860010) 重庆市教育委员会人文社会科学研究一般项目(17SKG144) 2018年重庆市科委技术创新与应用示范(cstc2018jscxmsybX0049) 重庆市教委科学技术研究项目(KJ1709206) 2017年度重庆市高校网络舆情与思想动态研究咨政中心开放课题(KJ1600923 KFJJ2017024)资助
关键词 突发公共事件 动态扩散网络 传播动力学模型 舆情演化 Public emergencies Dynamic diffusion network Propagation dynamics model Opinion evolution
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  • 1刘建国, 任卓明, 郭强, 汪秉宏.2013,物理学报,62 178901.
  • 2Cheng J, Danescu-Niculescu-Mizil C, Leskovec J. How community feedback shapes user behavior[EB/OL]. E2014-01- 05 ]. http://cs, stanford, edu/people/jure/pubs/disqus- icwsml4, pdf.
  • 3Stieglitz S, Dang-Xuan L. Emotions and information diffusion in social media--sentiment of microblogs and sharing behavior [J]. Journal of Management Information Systems, 2013, 29 (4) .. 217.
  • 4GUAN Wanqiu, GAO Haoyu, YANG Mingmin, et al. Analyzing user behavior of the micro-blogging website sina Weibo during hot social events[J]. Physica A.. Statistical Mechanics and Its Applications, 2014, 395(2), 340.
  • 5Venkates V, Davis F D. A theoretical extension of the technology acceptance model: For longitudinal field studies[J]. Management Science, 2000.46(2): 186.
  • 6Anne-Sophie C. Perceived risk and risk reduction strategies in internet shopping [J]. The International Review of Retail, Distribution and Consumer Research, 2002(10): 375.
  • 7Daft R L, Lengel R H. Information richness: A new approach to managerial information processing and organization design [J]. Research in Organizational Behavior, 1984,6 : 191.
  • 8Katz E. The uses of mass communications[M]. Los Angeles: Sage Publications Inc, 1974.
  • 9Park N, Kee K F, Valenzucla S. Being immersed in social networking environment Facebook groups, uses and gratifications, and social outcomes [J]. Cyber Psychology & Behavior, 2009, 12(6), 729.
  • 10Davis E D, Bagozzi R P, Warshaw P R. User acceptance ofcomputer technology.. A comparison of two theoretical models [J]. Management Science, 1989 ,35(8).. 982.

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