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Abstract: Design and simulation of future mobile networks will center around humaninterests and behavior. We propose a design paradigm for mobile networks drivenby realistic models of users- on-line behavior, based on mining of billions ofwireless-LAN records. We introduce a systematic method for large-scalemulti-dimensional coclustering of web activity for thousands of mobile users at79 locations. We find surprisingly that users can be consistently modeled usingten clusters with disjoint profiles. Access patterns from multiple locationsshow differential user behavior. This is the first study to obtain suchdetailed results for mobile Internet usage.



Author: Saeed Moghaddam, Ahmed Helmy, Sanjay Ranka, Manas Somaiya

Source: https://arxiv.org/







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