Data-driven Co-clustering Model of Internet Usage in Large Mobile Societies

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 multidimensional co-clustering 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. Categories and Subject Descriptors General Terms Measurement, Experimentation, Design, Performance Keywords Data-driven; Co-clustering; Modeling; Wireless.

• Type: Journal
• Year: 2010
• Where: CORR
• Authors: Saeed Moghaddam, Ahmed Helmy, Sanjay Ranka, Manas Somaiya
• Keywords: CORR 2010, Education, Future Mobile Networks, Large-scale Multidimensional Co-clustering, Mobile Networks