Abstract:The current network relationship analysis mainly studies the association relationship or group relations between users. Due to the variety of characteristic relation between users in mobile communication network, the relationship between the users and the groups are also diverse. On the basis of the specific groups with certain communication correlation and location similarity in the mobile communication network, the position prediction was introduced to the correlation measurement of position item, the location trajectory correlation measurement criterion was established, and an association user mining algorithm was proposed. The experimental result indicates that the proposed method can achieve the measuring of the relationship between users and the groups, and discover potential users associated with specific groups.
刘分 葛国栋 赵宇 刘冰洋. 移动通信网络位置群体关联用户挖掘[J]. 计算机应用, 2013, 33(08): 2100-2103.
Fen LIU GE Guodong ZHAO Yu LIU Bingyang. Associating User Mining of Location Group in The Mobile Communication Network. Journal of Computer Applications, 2013, 33(08): 2100-2103.