社团挖掘和话题监控的互动模型研究

计算机应用

社团挖掘和话题监控的互动模型研究

杨茹陶晓鹏

复旦大学计算机信息与技术系，上海200433 复旦大学计算机科学技术学院

收稿日期:2008-09-23 修回日期:2008-12-02 发布日期:2009-03-01 出版日期:2009-03-01
通讯作者: 陶晓鹏

Interaction model of community mining and topic detection and tracking

Received:2008-09-23 Revised:2008-12-02 Online:2009-03-01 Published:2009-03-01
Contact: Xiao peng Tao

摘要/Abstract

摘要： 社团挖掘是Web信息挖掘领域的重要应用，而话题监控是文本信息研究领域的重要应用,目前这两种技术是各自独立的。为更好地应用于互联网形成的复杂社会网络，将这两种技术结合起来研究，发现了社团和话题之间的关系，创建了社团挖掘和话题监控的静态和动态互动模型，设计了社团挖掘、话题识别以及社团跟踪算法。

关键词: 社团挖掘, 话题监控, 互动模型

Abstract: Community mining is an important application in the field of Web information mining. Topic detection and tracking is an important application in the field of text information study. Currently these two technologies are studied separately. To better apply these two technologies to complicated social networks formed by Internet, this paper combined them for research, discovered the relationships of community and topic, created static and dynamic interaction models for community mining and topic detection and tracking, and designed algorithms to mine communities, detect topics and track communities.

Key words: community mining, topic detection and tracking, interaction model

杨茹陶晓鹏 . 社团挖掘和话题监控的互动模型研究[J]. 计算机应用.

Xiao peng Tao . Interaction model of community mining and topic detection and tracking[J]. Journal of Computer Applications.