中文摘要：

随着大数据时代到来,网络微博舆情分析面临新的挑战,面向不同舆情主题应采取不同的应急对策。对＂腐败＂和＂城管＂主题下的博主关系网络结构进行实证分析,并利用PageRank方法对不同主题下影响力大的博主进行挖掘,提高了大数据背景下高价值微博用户的挖掘效率,为网络舆情应急管理提供智力支持。

英文摘要：

With the advent of the era of big data,network opinion analysis based on micro-blogs is facing new challenges.Hence different emergency responses should be taken according to various themes of network public opinion.In this paper,around the two public opinion themes of ＂ corruption＂ and ＂ urban management＂,we carry out empirical analysis of the structure of bloggers＇ relation network.Furthermore,the PageRank method is adopted to dig the influential bloggers,which enhances the efficiency of mining high-value micro-bloggers through massive data.The research work of this paper provides intellectual support for emergency management of network public opinion.