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作 者:王曰芬[1,2] 王一山 Wang Yuefen;Wang Yishan(Department of Information Management,Nanjing University of Science&Technology, Nanjing 210094,China;Jiangsu Collaborative Innovation Center of Social Safety Science and Technology,Nanjing 210094,China)
机构地区:[1]南京理工大学经济管理学院,江苏南京210094 [2]江苏省社会公共安全科技协同创新中心,江苏南京210094
出 处:《现代情报》2018年第9期28-35,144,共9页Journal of Modern Information
基 金:国家社会科学基金重点项目"大数据环境下社会舆情与决策支持方法体系研究"(项目编号:14AZD084);江苏高校哲学社会科学重点研究基地"社会计算与舆情分析"(培育点);2017江苏省研究生实践创新计划(项目编号:SJCX17_0095)
摘 要:在网络舆情内容的传播过程中,各种物理上独立的舆论会话在传播要素上可能存在着语义关联,并且传播要素之间的相互影响对舆情传播内容的演变具有重要作用。本文从网络舆情的传播阶段中传播要素的相互影响入手,以传播内容为主要研究对象,以社群网络中的关键节点及其传播主题为分析单元,将生命周期理论和关键节点识别相结合,并选择新浪微博作为数据来源,采集舆情事件信息,构建舆情事件生命周期各阶段的社会网络并提取关键节点,借助LDA主题模型方法挖掘各阶段舆情内容的主题,在此基础上研究相同阶段或者不同阶段中在关键节点影响下的舆情主题分布及其变化。研究结论为社会舆情分析与决策支持提供了一定的参考。In the content communication process of the network public opinions,a variety of physically independent public opinion dialogues may exist semantic association among the communication factors,and the interaction of communication factors plays an important role in the evolution of public opinion content.In this paper,the interaction of network public opinion in the communication process was commenced.The communication content was the main research object.The key nodes and their topics in the communication process were regarded as analysis unit.Sina micro-blog was chosen as a data source and collect public opinion event information.The research methodology was to integrate the life cycle theory and the identification of key nodes,and to construct social networks in all stages of the life cycle of public opinion events,extract key nodes,and mine the topic of public opinion content in all stages with LDA topic model method.On the basis of this,the topic distribution and changes of public opinion were studied in the same stage or in different stages under the influence of the key nodes.The conclusion provided some references for social public opinion analysis and decision support.
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