中文摘要：

传统的敏感舆情模型中,不论是基于文本或是数据挖掘的分析方法都是直接处理网络舆情,未结合网络传播特性分析。针对上述问题,研究并采用基于微博交互关系算法：通过量化微博的敏感程度,分析用户的交互关系来构建微博敏感舆论传播模型。实验基于新浪微博,搜索到一定数量的敏感用户,对用户的交互行为进行分析,得到未来有发表敏感舆论倾向的用户并进行监控。实验结果证明,与传统的舆情模型相比,该方法可行且有效,开拓了舆情分析思路,适用于当前网络舆情研究。

英文摘要：

In the traditional models, analysis based on text or data mining targets directly the sensitive public sentiments in the network, regardless of their transmission characteristics. To this end, this paper constructed a sensitive sentiment transmission model according to interactions between users and formulas to quantify the sensitivity value of every blog. It performed the experiment in SinaWeibo. Once it got an amount of sensitive users by the search engine, analyzed their interactions. It utilized the interactions of these users to get the potential users that may post sensitive blogs in the future. Then the system monitored these users for some period. Compared with the former models of public sentiment, this research provided a novel solution.The experiment proves that this system can be easily deployed and is more appropriate to the public sentiment study.