PandemieGrippaleV1, France, Extraction, bibRecord, 000517

Unravelling daily human mobility motifs

Identifieur interne : 000517 ( France/Extraction ); précédent : 000516; suivant : 000518

Unravelling daily human mobility motifs

Auteurs : Christian M. Schneider [États-Unis] ; Vitaly Belik [États-Unis, Allemagne] ; Thomas Couronné [France] ; Zbigniew Smoreda [France] ; Marta C. González [États-Unis]

Source :

Journal of the Royal Society Interface [ 1742-5689 ] ; 2013.

RBID : ISTEX:B982E2FE247AAD33686DE2C947ABB5515519A275

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.

Url:

https://api.istex.fr/ark:/67375/V84-GZ706CTR-S/fulltext.pdf

DOI: 10.1098/rsif.2013.0246

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ISTEX:B982E2FE247AAD33686DE2C947ABB5515519A275

Le document en format XML

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<front><div type="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.</div>
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Unravelling daily human mobility motifs

Unravelling daily human mobility motifs

Source :

Abstract

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