Spatio-temporal modeling of wireless users internet access patterns using self-organizing maps

Users behavior and interests will play a central role in future mobile networks. We introduce a systematic method for large-scale multi-dimensional analysis of online activity for thousands of mobile users across 79 buildings over 100 web domains. We propose a modeling approach based on self-organizing maps for discovering, organizing and visualizing different mobile users´ trends from billions of WLAN and netflow records. We find surprisingly that users´ trends based on domains or locations can be modeled using a self-organizing map with clearly distinct characteristics. This is the first study to acquire such detailed results for wireless users Internet access patterns.