【摘要】 构建微博用户的社会关系网络是分析微博数据的重要基础手段之一。由于微博用户在信息的发布和传播过程中具有不确定的行为特性,导致常见方法无法有效地完成微博用户行为关系网络的建模。该文以不确定理论为基础,提出了基于Rough Set的动态认知技术,对微博的海量不完备信息进行处理,完成对用户行为的计算分析,构建了微博用户行为关系网络。并以此为基础,结合用户操作、主题与情感分析方法,对微博中的网络事件发展进行了分析。更多还原

【Abstract】 To construct the social network of Micro-blog users has become one of the most important method to analyze micro-blog data. However, due to the uncertainty of the behavior of users in the process of information release and dissemination, it is hard to construct effectively the social network of Micro-blog users. Based on the uncertainty theory, the paper proposes a rough set based dynamic cognitive technology to handle the incomplete and massive information of micro-blog, complete the calculation and analysis of behavior of users, and construct the social network of Micro-blog users. On this basis, the development of network events in micro-blog is analyzed combined with the method with operation, theme and emotion analysis.更多还原