BIG DATA AND UNIVERSITIES: ANALYSIS OF UNIVERSITY STUDENTS MOBILITY BY TWITTER DATA

This work investigates university mobility in the Metropolitan Area of Madrid using geolocated Twitter data, taking advantage of its high use by the young population. From the identification of users, their campuses and residences, influence areas of the different universities are estimated, and the obtained data is combined with other sources like time travel files or income level data to analyse the influence of the transport mode, the type of university, or the place of residence in university mobility. The results show that students tend to reside near the campus they attend and the tendency of students from private universities to reside in areas with higher income levels.