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基于耦合网络的社交网络舆情传播模型研究
引用本文:魏静,黄阳江豪,朱恒民.基于耦合网络的社交网络舆情传播模型研究[J].现代情报,2019,39(10):110-118.
作者姓名:魏静  黄阳江豪  朱恒民
作者单位:南京邮电大学管理学院, 江苏 南京 210003
基金项目:国家自然科学基金资助项目"基于阈值的群体事件互联网舆情传递链路预测及监控机制研究"(项目编号:71704085);教育部人文社会科学基金资助项目"链路预测视角下的互联网舆情群体事件预警机制研究"(项目编号:17YJA870021);国家自然科学基金资助项目"基于主路径网络的舆情传播态势预测与干预研究——以社会化媒体中舆情为对象"(项目编号:71874088)。
摘    要:目的]为了研究社交网络以及研究微博网络与微信网络之间舆情的传递过程。方法]利用无标度有向网络和BA网络分别模拟微博网络和微信网络环境,通过特定的连接关系设计了耦合网络载体,在SEIR模型的基础上,充分分析了用户的传播心理,考虑到了个体具有兴趣衰减效应以及记忆效应等特征,构建了基于耦合网络的社交网络舆情传播模型。结果]实验结果表明,构建的双层社交网络舆情传播模型能较好地反映现实生活中的舆情传播过程,用户在多层社交网络之间的互动加速了舆情信息的流动,扩大了舆情信息的影响力,层间传播阈值的控制是管理多层社交网络舆情传播的关键。

关 键 词:舆情传播  耦合网络  SEIR模型  社交网络  

Research on Public Opinion Communication Model of Social Network Based on Coupling Network
Authors:Wei Jing  Huang Yangjianghao  Zhu Hengmin
Institution:Department of Management, Nanjing University of Posts & Telecommunications, Nanjing 210046, China
Abstract:Objective]In order to study social networks and study the transmission process of public opinion between Weibo network and WeChat network.Method]Using the scale-free directed network and BA network to simulate the microblog network and WeChat network environment respectively,the coupled network carrier was designed by the characteristic connection relationship.Based on the SEIR model,the user's communication psychology was fully analyzed.At the same time,the individual had the characteristics of interest attenuation and memory effect,and constructs a social network public opinion propagation model based on coupled network.Results]The experimental results showed that the constructed two-layer social network public opinion communication model could better reflect the public opinion communication process in real life.The interaction between users in multiple layers of social networks accelerated the flow of public opinion information and expanded the lyrics.Impact,the control of the inter-layer propagation threshold was the key to managing the lyrics of multi-layered social networks.
Keywords:public opinion communication  coupled network  SEIR model  social network  
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