title: Unravelling daily human mobility motifs.
abstract: Human mobility is differentiated by time scales. While the mechanism for long time scales has been studied, the underlying mechanism on the daily scale is still unrevealed. Here, we uncover the mechanism responsible for the daily mobility patterns by analysing the temporal and spatial trajectories of thousands of persons as individual networks. Using the concept of motifs from network theory, we find only 17 unique networks are present in daily mobility and they follow simple rules. These networks, called here motifs, are sufficient to capture up to 90 per cent of the population in surveys and mobile phone datasets for different countries. Each individual exhibits a characteristic motif, which seems to be stable over several months. Consequently, daily human mobility can be reproduced by an analytically tractable framework for Markov chains by modelling periods of high-frequency trips followed by periods of lower activity as the key ingredient.
authors: Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. schnechr@mit.edu
authors: Christian M
authors: CM
authors: Schneider
authors: Vitaly
authors: V
authors: Belik
authors: Thomas
authors: T
authors: Couronné
authors: Zbigniew
authors: Z
authors: Smoreda
authors: Marta C
authors: MC
authors: González
mesh_terms: D002940:Circadian Rhythm / Q000502:physiology*; D006801:Humans; D008390:Markov Chains; D008954:Models, Biological; D009043:Motor Activity / Q000502:physiology*; D014195:Travel
keywords: human dynamics; mobile phone; motifs; networks
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