Mobile Surfing Pattern Analysis over Time and Location on a Big Access Record

The fast increasing WAP usage makes mobile-Internet a more and more important part of citizens´ Internet life. As it is critical to mobile service market and city management, identifying surfing patterns of subgroups of mobile Internet users over time and based on locations will creates great value in Mobile Internet business and smart city management. In this paper, the author firstly examined the variation of surfing access, download and upload flow based on time and locations in which significantly and stable accessing peaks is found and verified. To detect the surfing behavior by individuals, the author traced the variation of surfing accessing over time and the variation of location of accessing and present them visually. The author finally obtained several surfing patterns that can precisely fit smaller subgroup of Mobile Internet users by hypothesis testing experiment.