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Network dynamics of mobile social networks

Zhao,G, Li,D, Xu,C, Tang,H and Yu,S 2014, Network dynamics of mobile social networks, in ICC 2014 : Proceedings of the 2014 IEEE International Conference on Communications, IEEE, Piscataway, N.J., pp. 2478-2483, doi: 10.1109/ICC.2014.6883695.

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Title Network dynamics of mobile social networks
Author(s) Zhao,G
Li,D
Xu,C
Tang,H
Yu,SORCID iD for Yu,S orcid.org/0000-0003-4485-6743
Conference name IEEE International Conference on Communications (2014 : Sydney, N.S.W.)
Conference location Sydney, NSW
Conference dates 10-14 Jun. 2014
Title of proceedings ICC 2014 : Proceedings of the 2014 IEEE International Conference on Communications
Editor(s) [Unknown]
Publication date 2014
Conference series IEEE International Conference on Communications
Start page 2478
End page 2483
Total pages 6
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) mobile Internet
mobile social network
user behavior
Summary With the rapid development of smartphones and mobile Internet technology, we witness an overwhelming growth of mobile social networks (MSN), which is a type of social network, forming virtual communities among people with similar interests or commonalities. In MSNs, users play a crucial role for their development, deployment and success. Understanding the MSN user behavior therefore attracts interests of different entities - ISPs, service providers, and researchers. However, it is hard to gather a comprehensive real data set, little is known and even less has been published about MSN user activities. In this paper, we focus on analyzing MSN user behavior from the perspective of ISP network, which is seldom reported in literature. Based on the real data set collected from the mobile network gateway of a major mobile carrier who has more than five million subscribers, we present an in-depth user behavior analysis of four popular social networks. We study the MSN user behavior from six aspects: user requests, active online time, sessions, inter-session, the number of requests in a session, and inter-request. We found that power law and lognormal are two popular features of the studied objects, and exposed some interesting findings as well. We hope our work could be helpful for ISPs, MSN content providers, and researchers. © 2014 IEEE.
ISBN 9781479920037
Language eng
DOI 10.1109/ICC.2014.6883695
Field of Research 080502 Mobile Technologies
Socio Economic Objective 890103 Mobile Data Networks and Services
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2014, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30068064

Document type: Conference Paper
Collection: School of Information Technology
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