基于事理图谱的突发事件网络舆情演化模型构建

通过构建突发事件网络舆情事理图谱，揭示舆情事件之间的逻辑关联与演化路径，为突发事件的分析与应对提供参考。首先，基于规则模板提取突发事件网络舆情中的事件逻辑关系，构建事理图谱。其次，将事件向量化表示后进行泛化处理，采用K-Means++算法对相似事件进行聚类和抽象以构建网络舆情抽象事理图谱，最后在此基础上对目标事件进行推演和预测。结果表明：突发事件事理图谱中的事件关系类型主要为因果、并列和顺承关系，大部分事件的逻辑链条较短，且与其他事件无明显关联；构建突发事件事理图谱有利于分析事件的演化脉络、把握关键事件节点并预测事件发展方向。

Construction of an evolution model of emergency network public opinion based on event knowledge graph

The event knowledge graph of emergency was constructed to reveal the logical correlation and evolution path between public opinion events, and provide reference for emergency analysis and response. Firstly, based on the rule template, the logical relationship of events in the network public opinion of emergencies was extracted, and the event knowledge graph was constructed. Secondly, the events were vectorized and generalized, and the K-Means++ algorithm was used to cluster and abstract similar events to build an abstract event knowledge graph of network public opinion. Finally, the target events were deduced and predicted on this basis. The results show that the types of event relations in the emergency event knowledge graph are mainly causality, coordination and sequence, and most of the events have short logical chains and no obvious correlation with other events; The construction of the emergency event knowledge graph is conducive to analyzing the evolution of the emergency, grasping the key event nodes and predicting the development direction of the events.