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. Attached Files Name Description MIMEType Size Downloads Title Network dynamics of mobile social networks Author(s) Zhao,G Li,D Xu,C Tang,H 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 Collections: Faculty of Science, Engineering and Built Environment School of Information Technology 2018 ERA Submission Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 04 Dec 2014, 16:56:55 EST Mon, 02 Feb 2015, 12:51:09 EST Mon, 02 Feb 2015, 13:04:11 EST Mon, 02 Feb 2015, 13:18:19 EST Fri, 10 Apr 2015, 11:53:46 EST Thu, 30 Apr 2015, 06:10:18 EST Thu, 30 Apr 2015, 16:30:29 EST Tue, 12 May 2015, 10:12:38 EST Tue, 02 Jun 2015, 15:39:15 EST Mon, 18 Jul 2016, 15:31:45 EST Filtered Full Citation counts:   Cited 4 times in TR Web of Science Cited 5 times in Scopus Search Google Scholar Access Statistics: 322 Abstract Views, 8 File Downloads  -  Detailed Statistics Created: Mon, 02 Feb 2015, 12:51:09 EST

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