社交网Twitter平台的人物关系网社区发现

摘要

SNS (social networking service) has been integrated into public life. People upload their own information to the network and use the social networking sites to manage their social relationship. A large number of personal information is presented on social networks. Based on the Twitter platform, this paper designs to ifnd community structure of Twitter users. With the real-time information collecting, this paper rebuilds the relationships of users, improving Fast-Newman algorithms in dividing social networks. The paper uses a visualization system to automatically visualizing community structures, providing decision makers with user network behavior to implement personalized recommendation.%社交网络服务（social networking service，SNS）已融入到大众生活中。人们将自己的信息上传到网络中，并通过社交网站管理自己的社交圈子，由此造成大量的个人信息在社交网络上被公开。文章基于Twitter平台，设计实现了Twitter用户关系网的社区发现。通过实时采集Twitter用户信息，重建人物关系网，改进Newman快速算法划分社区发现人物关系网。文章通过可视化的界面呈现用户的社区关系，提供用户网络行为，为决策者的舆情监控或个性推荐提供了参考凭据。