基于观点模糊相似度的微博舆情演化研究  

Research on Weibo Public Opinion Evolution Based on Similarity Measure of Fuzzy Perspective

作　　者：郭耿 陈福集 陈蕾雯 GUO Geng;CHEN Fu-ji;CHEN Lei-wen(School of Economics&Management,Fuzhou University,Fuzhou 350108,China)

机构地区：[1]福州大学经济与管理学院

出　　处：《情报科学》2020年第1期82-86,共5页Information Science

基　　金：国家自然科学基金项目“基于知识网格面向网络舆情的政府决策知识供需匹配研究”(71271056)

摘　　要：【目的/意义】微博舆情监管是政府推进网络社会治理所面临的难题。对微博舆情进行研究有助于深入了解微博舆情传播规律,为政府监管微博舆情提供建议。【方法/过程】首先通过分析微博舆情的社交网络结构特点,对BA无标度网络进行改进。随后将模糊观点与Deffoant-Weisbuch模型融合,提出一种基于改进模糊相似度的舆情演化规则。最后通过仿真实验分析微博舆情演化特征。【结果/结论】研究发现,模糊观点的类型对舆情演化的周期与规模有影响。用户对于热门发现微博的关注度对舆情传播有影响。【Purpose/significance】Weibo public opinion supervision is a difficult problem for the government to promote network social governance.Research on Weibo public opinion will help to understand the evolution laws of Weibo and provide suggestions for government.【Method/process】Firstly,the BA scale-free network is improved through the characteristics of the social network structure of Weibo.Then,an opinion evolution rule based on improved fuzzy similarity is proposed by fusing the fuzzy perspective with the Deffuant-Weisbuch model.Finally,the evolution characteristics of Weibo public opinion are analyzed through simulation experiments.[Result/conclusion]The study found that the fuzzy perspective have an impact on the period and scale of public opinion evolution.Netizen'attention to popular microblogs has an impact on public opinion dissemination.

关 键 词：微博舆情 舆情演化 模糊理论 

分 类 号：G250.2[文化科学—图书馆学]