CDMA Mobile Internet User Behavior Analysis Based on RP Interface

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 All 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.