DocumentCode
598534
Title
Detecting Geographic Community in Mobile Social Network
Author
Duan Hu ; Shu Chen ; Lai Tu ; Benxiong Huang
Author_Institution
EIE Dept., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear
2012
fDate
20-23 Nov. 2012
Firstpage
343
Lastpage
347
Abstract
We propose a new measurement called geographic community, which provides a bridge between spatial proximity and the social nature of individuals in mobile social network. A novel approach for detecting these geographic communities has been proposed. Through developing a spatial proximity matrix, an improved symmetric nonnegative matrix factorization method (SNMF) is used for detecting these geographic communities. Based on several experimental results, the advantages of this proposed measurement have been presented. Finally, several future directions extending from this new measurement have been discussed.
Keywords
matrix decomposition; mobile computing; social networking (online); SNMF; geographic community detection; mobile social network; spatial proximity matrix; symmetric nonnegative matrix factorization method; Communities; Data mining; Indexes; Mobile communication; Mobile computing; Social network services; Symmetric matrices; community structure; geographic community; measurement; mobile social network;
fLanguage
English
Publisher
ieee
Conference_Titel
Green Computing and Communications (GreenCom), 2012 IEEE International Conference on
Conference_Location
Besancon
Print_ISBN
978-1-4673-5146-1
Type
conf
DOI
10.1109/GreenCom.2012.57
Filename
6468335
Link To Document