关键词: 用户行为, 时间模式, 聚类, 社交媒体, 隐私保护

Abstract: It’s of very much importance that personal privacy information of social media users on the Internet should be protected. Prevailing research outcomes protecting privacy are mainly about general relational data, location based service and related trace data, and social network structure, while recognition of privacy exposure problems and the solutions solving them remain to be discovered fortemporal data of users’ behavior in social media. On the purpose of solving these problems, a multi-method and multi-option clustering based attacker model is proposed, and it’s capable of leaving social media users’ temporal patterns to much privacy exposure, which deserves considerable attention.

Key words: users&rsquo, behavior, temporal pattern, clustering, social media, privacy protection