Infer mobility patterns and social dynamics for modelling human behaviour

Investigating human mobility patterns and comprehending the social dynamics that govern people movements is of high interest for multiple aspects and reasons. Location-based services, mobile network management, and urban planning are just few of the several applications that benefit from this kind of assessment. This work focuses on the stochastic analysis of spatiotemporal and social network data in order to build a human behaviour model which aims to predict social dynamics and to infer users’ mobility patterns and interests.