Paper Info
Title
Multiple-membership communities detection in mobile networks
Abstract
This paper addresses a problem of overlapped communities detection and its applications in mobile networks. The suggested method is based on "soft" communities detection using modularity maximization and may be used to improve efficiency of mobile advertisements and to make recommendations and missing links predictions. The method is applied for analysis of mobile users data collected at Nokia data collection campaign. In particular, we outline possible applications of soft community detection in single and multi-layer graphs.
Year
DOI
Venue
2011
10.1145/1988688.1988763
WIMS
Keywords
Field
DocType
multi-layer graph,mobile users data,mobile network,missing links prediction,nokia data collection campaign,soft community detection,modularity maximization,mobile advertisement,overlapped communities detection,suggested method,multiple-membership communities detection,data collection
Mobile computing,Data collection,Graph,Data mining,Mobile search,World Wide Web,Information retrieval,Computer science,Modularity,Maximization
Conference
Citations 
PageRank 
References 
3
0.44
3
Authors
1
Name
Order
Citations
PageRank
Nikolai Nefedov112010.62