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 :
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