A Context-aware Member Clustering Algorithm based on ant colony and Genetic optimization for P2P Mobile Social Network

摘要：

　　It is one of important topics in social network research how to form member clustering according to potential social relations by automatic context-aware the users behavior feature.This paper presents a context-aware mobile P2P social network framework,member clustering model and algorithm.The users location information,environmental characteristics etc.are introduced to the clustering algorithm,which intelligently cluster to potential P2P social network.The experimental results show that the proposed approach and the algorithm have a higher response speed,load balance and adaptive ability.

关键词： mobile social network context-aware clustering model P2P

作者: Huaihu CAO Yanmei ZHANG

作者单位: School of Information Central University Finance and Economics Beijing,China

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Computer Science and Electronics Engineering(ICCSEE2013)(2013年第二届计算机科学与电子工程国际会议)

会议地点: 杭州

会议语种:英文

页码: 2386-2389

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）