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[目的/意义]及时且准确地从微博数中发现突发事件信息并跟踪突发事件事态发展。[方法/过程]当前多数学者采用话题检测与跟踪技术来实现,这极易忽视微博用户网络中的社区结构特性。以新浪H7N9突发事件中用户关系网络为研究对象,首先分析微博用户关系网络的社区结构特性,然后根据寻找到的社区结构有针对性地追踪典型群体所讨论的话题及其话题演化发展。[结果/结论]结果表明,这种方法对未来跟踪话题时减少检测突发事件的时空开销与提高突发事件监管的准确度有一定的意义。
[Purpose / Significance] Timely and accurately find out emergency information from microblogging and keep track of emergency developments. [Methods / Processes] Currently most scholars use topic detection and tracking technology to achieve, it is easy to ignore the social structure of microblogging user network characteristics. Taking the user relationship network of Sina H7N9 emergency as the research object, this paper first analyzes the community structure characteristics of Weibo user relationship network, and then traces the topics discussed by typical groups and the evolution of the topic according to the found community structure. [Results / Conclusions] The results show that this method is of some significance to reduce the space-time overhead of detecting emergencies and improve the accuracy of emergency regulation when tracking topics in the future.