会议专题

Method to Find Community Structures from Mobile Communication Data

Recently, there has been an increased amount of work on finding communities in network. In this paper, we present a method for identifying communities of practice from mobile communication bill within an organization. We use an improved edge-clustering algorithm that can rapidly find communities within a graph representing information flows.We apply this method to a batch of mobile communication data with 12251 recorders collected over a two-month span,and show that the method is effective at finding true communities. These studies are complemented by a qualitative evaluation of the results in the field.

Data Mining Complex Network Mobil Communication

Peihua Fu

College of Electrical Engineering, Zhejiang University Hangzhou, 310029, P.R.China;College of Computer and Information Engineering, Zhejiang Gongshang University Hangzhou, 310035, P.R.China

国际会议

2006 International Symposium on Distributed Computing and Applications to Business,Engineering and Science(2006年国际电子、工程及科学领域的分布式计算应用学术研讨会)

杭州

英文

1127-1130

2006-10-12(万方平台首次上网日期,不代表论文的发表时间)