目的/意义舆情主题图谱可以实现舆情事件节点之间相互关系的形式化描述社交网络大数据可视化，构建舆情主题图谱对于有效分析和解决大数据时代海量、异构、复杂的舆情事件有重大意义。设计/方法对大数据时代的社交网络舆情主题图谱的研究现状、主题图谱构建、舆情调控等进行较为详尽的介绍，以社交网络分析相关技术方法为手段，挖掘出主题图谱中更深层次的知识关联与更广范围的知识范畴社交网络大数据可视化，从关键节点、关键路径、趋势模型等不同维度进行舆情主题图谱分析。结论/发现社交网络舆情主题图谱的有效管理和应用价值进行探究，分析社交网络舆情主题图谱在经济、政治、生活等方面的实践应用的科学性、有效性和适用性等。

关键词:网络舆情, 知识图谱, 图谱构建, 舆情调控

[Purpose/Significance] Public opinion topic mapping can realize the formal description of the interrelationship between nodes of public opinion events, and the construction of public opinion topic mapping is of great significance to effectively analyze and solve the massive, heterogeneous and complex public opinion events in the era of big data。 [Design/Methodology] The current research status, topic mapping construction, and opinion regulation of social network topic mapping in the era of big data are introduced in detail, and on the basis of the construction of the topic mapping of public opinion, the technical methods related to social network analysis are used as a means to dig out deeper knowledge associations and broader knowledge categories in the topic mapping, and to analyze the topic mapping from different dimensions such as key nodes, key paths, and trend models。

The analysis of public opinion topic mapping is carried out in different dimensions such as key n

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