网络舆情信息的衍变话题细分及组配规律研究

Research on Network Public Opinion Evolution Topics Subdivision and Grouping Law

文章以新浪网站真实数据为基础,通过识别热门事件衍变子话题的互信息度构建衍变话题网络,进而通过复杂网络分析的方法测度衍变话题网络中结点的中介中心性以及可视化衍变话题的次第组配网络拓扑,达到细分热点事件衍变话题,明确其组配规律的研究目标,以期为热点事件舆情的危机定性、技术干预、舆情跟踪反馈等工作提供实践依据。

This paper takes the real data in Sina as object, constructing the topic network by measure the mutual information degree of subtopic evolutionary from online event. Then complex network analysis been used to measure the nodes’ betweenness centrality and visualize the sub network topology of topic relation, achieve the target of seg-ment the developed topic and clear the polarity transition rules of public opinion. The result can provide the practice reference of crisis qualitative, technical intervention, event tracking and other crisis management work.