Extract: Mining Social Features From WLAN Traces: A Gender-Based Case Study
The next frontier for sensor networks is sensing the human society. Several mobile societies are emerging, especially with wide deployment of Wireless LANs (WLANs) on campuses. WLAN traces can provide much insight into mobile user behavior. Such insight is essential to develop realistic models and to design better networks, and analyze effects of social attributes on mobile network usage. The most extensive libraries of wireless traces are collected from university campuses, are anonymized and do not provide affiliation, gender or preference information explicitly. Hence, it becomes a challenge to analyze network usage characteristics for social groups using the existing traces.