2010/05/27 by Saeed Moghaddam, Moghaddam, Saeed, Ahmed Helmy +5
Computer Science · Social Sciences · #Caching and Content Delivery #Human Mobility and Location-Based Analysis #Opportunistic and Delay-Tolerant Networks #cs.NI
paper · pdf · doi:10.48550/arxiv.1005.5180
10 pages, 10 figures
arxiv created 2010/05/27 · arxiv updated 2010/05/31
Design and simulation of future mobile networks will center around human interests and behavior. We propose a design paradigm for mobile networks driven by realistic models of users' on-line behavior, based on mining of billions of wireless-LAN records. We introduce a systematic method for large-scale multi-dimensional coclustering of web activity for thousands of mobile users at 79 locations. We find surprisingly that users can be consistently modeled using ten clusters with disjoint profiles. Access patterns from multiple locations show differential user behavior. This is the first study to obtain such detailed results for mobile Internet usage.