Nowadays an increasing number of digital records relating to everyday life (blog posts, text messages, images etc.) are generated by individual users. The wide availability of location aware sensor technologies facilitates the creation of these new digital geographic footprints, which represents a unique opportunity to gain a better understanding of people and their social activities reflected in social media for the study of human mobility.
Within the talk novel concepts, techniques and analysis methods for the exploration of human social activities from user-generated social media data are presented. The focus is to investigate the possibilities of characterizing spatial structures and underlying human mobility patterns, in order to assess the reliability of social media information and the given spatial, temporal and semantic characteristics.
The overall aim of the talk is to demonstrate the potential of how information from social media can add further geographic information and can be utilized as a proxy indicator for the inference of real world geographic phenomena in order to provide further insights into complex human mobility processes.