A Community Discovery Algorithm Based on Users’ Network Effects In Mobile Communication Network

摘要：

　　Mobile network community discovery has been introduced as a new efficient way to disseminate mobile internet services to a particular group of mobi le users.This paper builds a mobile network model according to the actual data of mobile communication and proposes a mobile community discovery algorithm based on users” network effects.Firstly,the algorithm converts the effect of mobile users on the network into the relationship between vectors in Euclid space by signaling transmission.And then Euclidean distance is used to calculate users’ similarity.Secondly,community structure of the mobile communication network is detected by use of the efficient affinity propagation clustering and the corresponding core user of each community is marked.Finally,the algorithm is proved effective and its related parameters choice is analyzed in the experiments.

关键词： Mobile communication Users’ network effect Affinity propagation Community discovery

作者: Yan Wang Hua Li Jiantao Zhou

作者单位: Inner Mongolia University College of Computer Science, Huhhot 010021, Inner Mongolia, China;Inner Mo Inner Mongolia University College of Computer Science, Huhhot 010021, Inner Mongolia, China

会议类型: 国内会议

会议名称: 第二届中国互联网学术年会

会议地点: 张家界

会议语种:英文

页码: 200-204

在线出版日期: 2013-07-01（万方平台首次上网日期，不代表论文的发表时间）