Mining Gender Affinity to Social Networking

Abstract: Social networking websites are currently used by many people, especially young ones who are in the age group of 17–25. Since these age groups are mostly students and are either college going or in the process of making a career, it is difficult for the parents to keep a close watch over their activities. Even the academic coordinators and advisors have not developed a pattern through which these age groups can be guided and trained. Nevertheless, it is difficult to pattern the personal and social behaviour, academic activities and performances. There is no exhaustive study or research work done to address this issue in different countries. In this research, a comprehensive analysis of students’ internet usage behaviours by focusing on social network (SN) website usages is targeted. It is an attempt to pattern the characteristics by demonstrating and elaborating the various aspects of Internet usages. Relationship between users’ usage patterns and their personal and social behaviours along with their academic performances are studied, finally a prediction method for predicting students’ future academic performance by analysing their internet and SN websites usage patterns is proposed.

Keywords: behaviour mining; internet usage pattern; social network; web usage mining; WUM; website classification.