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Abstract:
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Geolocated trace data collected from smartphones (e.g., Twitter or smoke cessation apps) have opened new research avenues in the study of human mobility. In this talk I will present an overview of the scientific questions that can be answered based on spatiotemporal trajectories of human movement over short or long spaces. I will introduce a statistical modeling framework for capturing key aspects of mobility which is based, in part, on graphical models. In particular, I will focus on the collocation of individuals for short or long periods of time which induces complex dynamic networks of human-to-human interactions.
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