Workload characterization of a Web proxy in a cable modem environment
ACM SIGMETRICS Performance Evaluation Review
A methodology for workload characterization of E-commerce sites
Proceedings of the 1st ACM conference on Electronic commerce
Analysis of a local-area wireless network
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
A characterization of broadband user behavior and their e-business activities
ACM SIGMETRICS Performance Evaluation Review
Predicting navigation patterns on the mobile-internet using time of the week
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Time based patterns in mobile-internet surfing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Identifying user behavior in online social networks
Proceedings of the 1st Workshop on Social Network Systems
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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.