Title :
SNS application using call detail records
Author :
Li, Xiu ; Huang, Rongsheng ; Jin, Ming ; Ma, Jianguo ; Yang, Yujiu ; Wu, Xianyang ; Liao, Liufang
Author_Institution :
Grad. Sch. at Shenzhen, Tsinghua Univ., Shenzhen, China
Abstract :
With the development of SNS (social network service), social network has become more and more important. The problem of how to discover users´ (including the Internet and the telecommunication network) social network from users´ interaction detail between each other starts to be the focus problem of researchers. Basing on the analysis of telecommunication call data, this paper studied how CDRs (Call Detail Records) can be transformed to call graph. And then the concept of TF(Telecommunication Family) and a clustering algorithm to discover TFs is proposed, which bases on call graph. Our empirical study shows that the proposed algorithm is promising in discovering TFs from CDRs.
Keywords :
Internet; graph theory; pattern clustering; social networking (online); telecommunication computing; telecommunication networks; Internet; SNS application; call detail records; call graph; clustering algorithm; social network service; telecommunication family; telecommunication network; Algorithm design and analysis; Clustering algorithms; Communications technology; Communities; Data mining; Educational institutions; Social network services; data mining; social network service; telecommunication;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4244-8162-0
DOI :
10.1109/ICECENG.2011.6057443
