突发公共事件中微博传播特征的实证分析──以新浪微博温州“7·23”动车事故为例

Analysis on Communication Features of Micro-Blog in Public Emergency

以温州"7·23"动车事故为研究案例,收集新浪微博中相关数据,首先使用GM-DH模型对微博总数拟合描述,然后利用内容分析法对博文内容归类统计,并在此基础上结合Apriori算法分析了用户的行为特征。实证分析表明,突发事件中微博数量、微博内容和用户行为等多个方面有着一定的规律和特征,这将有利于公共危机的治理。最后,从政府网络管理的角度提出突发事件中微博的监管建议。

Based on Wenzhou '7·23' bullet train crash event,paper collects its data from Sina Micro-blog.Firstly,we use GMDH model to fit and forecast the variation trend of Microblog account,then use content analysis method to divide Micro-blog and discuss the change trend and characteristics of different categories.Then we analyzed users behavior features through Apriori algorithm based on before analysis.At last,Paper proposes suggestions from the perspective of government in order to improve the management of micro blog.