Social network

Contrasting social and non-social sources of predictability in human mobility

In this paper, we apply entropy and predictability measures to analyse and bound the predictive information of an individual's mobility pattern and the flow of that information from their top social ties and from their non-social colocators.

Identification of Human Mobility Modes using Socio-Spatio-Temporal Predictive Models

The scientific analysis of the regularities observed in individual and collective human movement trajectories is of fundamental relevance to a wide range of areasÑurban planning, the prevention of epidemics, and natural security issues such as detection of clandestine activity, to name but a few. The ubiquity of mobile phones and location-based social media has enabled the capture of comprehensive, time-resolved individual information, offering a unique opportunity to observe human activity on an unprecedented scale. Indeed, recent theoretical developments suggest that a perfect algorithm can predict a person's whereabouts with almost 90% certainty, given past observations of their location visits. Yet, major gaps remain in our understanding of human mobility dynamics.