基于文本内容相似性的网络用户群分析

Analysis of Network User Group Behavior Based on Text Content Similarity

在研究社交网络用户相关网络信息的基础上,提出一种基于微博博文或论坛帖子内容分析的用户群行为特征分析方法,通过用户所发表博文或帖子内容的相似性比较,根据用户之间博文或帖子的相似性来判断用户的相似性,进而建立用户群,提取群内用户的行为特征。实践证明此方法能够有效地分析社交网络中具有相同用户行为特征的用户群。

In this paper, on the study of relevant network information ot the social network users, me analysis about user group behavioral characteristics is proposed based on the blogs or posts content analysis theory, through the similarity analysis of blogs or posts between different users, the similarity between users is gotten according to the similarity between blogs or posts, thereby establishing user groups and extracting the behavior features in user group. The result of case has proved that this method can effectively analyze user behavior characteristics of user group in social network.