计算机工程与应用Issue(6)：93-98,6.DOI:10.3778/j.issn.1002-8331.1402-0074
基于重叠社团发现的微博话题检测方法
Micro-blog topic detection method based on overlap community detection
摘要
Abstract
Micro-blog topic detection has become the current research focuses. A micro-blog topics detection method based on overlap community detection is proposed. Raw micro-blog data will be preprocessed. After micro-blog content segmen-tation, topic words will be extracted with part of speech and temporal distribution. And edge is created between high rele-vance topic words to get a complex network. The concept of community independent modularity is introduced, and the overlap community is detected with the model of community independent modularity maximization; each community is taken as a micro-blog topic. The method of overlap community detection can solve the problem of low accurate rate of topic detecting caused by one or more keywords belonging to more than one topic. The experiments results show that the proposed method is feasible in micro-blog topic detection.关键词
微博/话题检测/复杂网络/重叠社团发现Key words
micro-blog/topic detection/complex network/overlap community detection分类
信息技术与安全科学引用本文复制引用
程飞,姬东鸿..基于重叠社团发现的微博话题检测方法[J].计算机工程与应用,2015,(6):93-98,6.基金项目
国家自然科学基金重点项目（No.61133012）；国家自然科学基金面上项目（No.61173062）。 （）
