Abstract
With the development of Internet services, user behaviors are becoming more and more complex. Especially in mobile internet, user behavior analysis is difficult because of its high flexibility. In this article, a CDMA mobile network of some city from China Telecom (CT) was selected as sample, and mobile users’ data of this area which came from A11 packets mirrored from RP interface was analyzed. Some statistics and analyzing methods in immobile network were used for reference, because references for mobile user analysis were rarely found. Standing on the point of user service instance, database and SPSS software were deployed to analyze the distribution characteristics of service instance duration, the relationships of login time, logout time, on-line duration and count of instances. So user online habits were concluded, and then described through k-means algorithm. This conclusion is valuable for mobile carriers to optimize network service.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
3GPP2 A.S0017-D. Interoperability Specification (IOS) for cdma2000 Access Network Interfaces — Part 7 (A10 and A11 Interfaces) Version 2.0.1 (July 2003)
3GPP2 P.S0001-B. cdma2000 Wireless IP Network Standard Version 2.0 (September 2004)
Neto, H., Almeida, J., Rocha, L., Meira, W., Guerra, P., Almeida, V.: A Characterization of Broadband User Behavior and Their E-Business Activities. ACM SIGMETRICS Performance Evaluation Review 32(3), 3–13 (2004)
Tang, D., Baker, M.: Analysis of a local-area wireless network. In: Proceedings of MOBICOM 2000, pp. 1–10. ACM Press, New York (2000)
Maia, M., Almeida, J., Almeida, V.: Identifying User Behavior in Online Social Networks. In: European Conference on Workshop on Social Network Systems, Glasgow, Scotland, pp. 1–6 (April 2008) ISBN:978-1-60558-124-8
Arlitt, M., Friedrich, R., Jin, T.: Workload characterization of a web proxy in a cable modem environment. Performance Evaluation Review 99, 1–12 (1999)
Menascé, D.A., Almeida, V.A.F., Fonseca, R., Mendes, M.A.: A Methodology for Workload Characterization of E-commerce Sites. In: Proceedings of the 1st ACM Conference on Electronic Commerce Table of Contents, Denver, Colorado, United States, pp. 119–128 (1999)
Yamakami, T.: A mobile clickstream time zone analysis: implications for real-time mobile collaboration. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds.) KES 2004. LNCS (LNAI), vol. 3214, pp. 855–861. Springer, Heidelberg (2004)
Halvey, M., Keane, M., Smyth, B.: Predicting navigation patterns on the mobile-internet using time of the week. In: WWW 2005, pp. 958–959. ACM Press, New York (2005)
Halvey, M., Keane, M., Smyth, B.: Time based patterns in mobile-internet surfing. In: CHI 2006, pp. 31–34. Springer, Heidelberg (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yu, K., He, D., Dou, Y., Lei, Z. (2011). CDMA Mobile Internet User Behavior Analysis Based on RP Interface. In: Gong, Z., Luo, X., Chen, J., Lei, J., Wang, F.L. (eds) Web Information Systems and Mining. WISM 2011. Lecture Notes in Computer Science, vol 6987. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23971-7_17
Download citation
DOI: https://doi.org/10.1007/978-3-642-23971-7_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23970-0
Online ISBN: 978-3-642-23971-7
eBook Packages: Computer ScienceComputer Science (R0)