中文摘要：

为更好地利用微博结构化社会网络方面的信息，提出一种基于增量主题模型的微博在线事件分析算法。通过设计增量过程，保留已有的训练信息，采用自适应非对称学习算法融入新微博内容与用户关系。实验结果表明，该算法可在短暂的时间内建模，并有效提高事件分析的性能。

英文摘要：

Aiming at the existing event analysis algorithms do not make full use of the structure information on social network of microblogs, this paper proposes a microblog online event analysis algorithm based on incremental topic model. This algorithm designs a reasonable incremental process to preserve the existing training information, and gives an adaptive asymmetric learning mechanism to integrate the content and user relationship of new microblogs. Experimental results show that this algorithm leads to more balanced and comprehensive improvement for online event detection in near real-time scenarios.