基于地理社交数据的移动社交网络用户社会化关系发现研究

Research on Social Relationship of Mobile Social Network Users Based on Geo-social Data

文章提出了基于地理社交数据来发现用户潜在的关联领域节点,并对移动社交网络用户与节点之间的网络关系进行判别的方法。通过使用耦合隐马尔科夫模型来模拟用户与关联节点的交互情况,从而为节点间关系判别提供支持。最后根据用户与节点的关系以及用户的地理社交信息来为移动社交网络用户提供个性化服务。

This paper proposes a method to discover the potential user connection nodes based on geo-social data and identify the relationship between the mobile social network users and the nodes. The interaction between users and their connection nodes is simulated through the coupling Hidden Markov Model, thus providing the support for identifying the relationship among the nodes. Finally, the paper provides personalized service for mobile social network users according to the relationship between users and the nodes, and users＇ geo-social information.