Exploring mobile data on smartphones from collection to analysis

Abstract

The explosive increasing data on mobile terminals has multiple perspective of value for users and service providers, such as improving user experience, resource allocation and mobile devices marketing, etc. However, it lacks massive fine scale mobile data for studies. Previous research still limited in a grain scale, making analysis in a static way to the data obtained from Internet Service Providers (ISPs). In this paper, we propose a dynamic data analysis system to explore the mobile data from collection to analysis. It achieves data collection in a fine scale with dynamic manner. Accordingly, the analysis function is also formed to adapt to dynamic increments of data. Besides, this system can be easily extended with different modules. To show these characteristics of this system, we elaborate several demonstrations of analysis results in aspects of user usage pattern. Furthermore, clustering analysis is made to some specific smartphone applications that contribute to the rapid growth of mobile data.