Poster Abstract: Gender-Based Feature Analysis in Campus-Wide WLANs

Rapid WLAN deployment has led to various research challenges and scenarios. In this paper, the authors come up with a technique to classify users into social groups and then use this information to investigate the usage behavior of these groups. Grouping of users can be done based on diverse parameters like gender, major or other interest groups. In this paper, they show the general methodology used to accomplish WLAN user groupings with an example of grouping by gender in a major university campus. The usage patterns of Males and Females are contrasted based on this grouping. Possible applications of this work encompass user profiling; studying gender gaps in social sciences; announcement/advertisement customization to target groups.