Geolocalized tweets for assessing daily mobility: Methodology to analyse and detect homelocation in the urban area of Valencia

Abstract

Geolocalized data from social network Twitter is analyzed with the aim of studying its possible use in a daily mobility pattern investigation. The area for the practical application is Valencia's urban area, Spain. Based on the previous analysis, a methodological proposal is created to the use of data, focused on the detection of the user's home location, a core information in a mobility study. The proper adjustment of the results with the sources of evidences validates the methodology and shows that the possibilities of this information are vast.