Paper Info
Title
Analyzing and Modeling Temporal Patterns of Human Contacts in Cellular Networks
Abstract
As the usage of wireless devices rapidly increases, mobile phones have become an important aid for people to maintain social relationships. Analysis on cellular networks through mobile communication records, especially when such records contain temporal and spatial information, can potentially unveil fundamental laws that govern the dynamics of social networks. In this paper, we use call detail records (CDRs) collected from a nation-wide cellular network in North America for more than one month. We analyze contact patterns over one million pairs of people using real call data as looking into pairwise call records for each pair. First, we investigate the impacts of social relationships on contacts and discover that family members show different characteristics from non-family pairs in terms of contact regularity or duration. Next, we characterize inter-contact time and contact duration using finite mixture models of Gaussian, Lognormal, and Gamma distributions for each pair. Our mixture models for pairwise communication patterns of cellular users capture and demonstrate burstiness, periodicity, and inhomogeneity of human communication.
Year
DOI
Venue
2013
10.1109/ICCCN.2013.6614108
ICCCN
Keywords
Field
DocType
temporal pattern modeling,mobile handsets,mobile communication,north america,cellular radio,mobile phone,social network,spatial information,gamma distribution,gaussian distribution,call detail record,cellular network,finite mixture model,human contact,lognormal distribution,wireless device,social networking (online),human communication,cdr
Spatial analysis,Pairwise comparison,Wireless,Social network,Computer science,Computer network,Burstiness,Cellular network,Mixture model,Mobile telephony
Conference
ISBN
Citations 
PageRank 
978-1-4673-5774-6
4
0.44
References 
Authors
13
3
Name
Order
Citations
PageRank
Hayang Kim1171.50
Hui Zang2105277.25
Xiaoli Ma353732.48