中文摘要：

活动社会网络，由用手机与对方一起交流的活动用户组成，是在社会生活的民族相互作用的思考。发现打了社区(例如，家庭社区或社团的社区) 在活动社会网络是一个很有希望的问题。例如，为出售的精确决定目标用户能帮助活动操作员。在这，我们建议发现的纸由利用在用户之间的关系的标签在活动社会网络打了社区。我们使用活动操作符存储的用户日志，包括通讯和用户运动记录，到一起在一个网络把所有关系标记由雇用一个未受指导的概率的图形的模特儿，即，有条件的随机的域。然后，我们使用二个方法基于关系标记的结果发现打的社区：一个人根据他们的标签是简单地保留或切的关系，并且其它正在使用复杂加权的社区察觉算法。试验性的结果证明我们的建议框架在活动社会网络以打的社区察觉的精确性表现很好。

英文摘要：

Mobile social networks, which consist of mobile users who communicate with each other using cell phones are reflections of people＇s interactions in social lives. Discovering typed communities （e.g., family communities or corporate communities） in mobile social networks is a very promising problem. For example, it can help mobile operators to determine the target users for precision marketing. In this paper we propose discovering typed communities in mobile social networks by utilizing the labels of relationships between users. We use the user logs stored by mobile operators, including communication and user movement records, to collectively label all the relationships in a network, by employing an undirected probabilistic graphical model, i.e., conditional random fields. Then we use two methods to discover typed communities based on the results of relationship labeling： one is simply retaining or cutting relationships according to their labels, and the other is using sophisticated weighted community detection algorithms. The experimental results show that our proposed framework performs well in terms of the accuracy of typed community detection in mobile social networks.