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Human Mobility Patterns at the Smallest Scales

Published online by Cambridge University Press:  30 July 2015

Pedro G. Lind  and
Adriano Moreira
Pedro G. Lind*
Affiliation:
ForWind - Center for Wind Energy Research, Institute of Physics, Carl-von-Ossietzky University of Oldenburg, DE-26111 Oldenburg, Germany
Adriano Moreira
Affiliation:
Centro Algoritmi, Escola de Engenharia, Universidade do Minho, Campus de Azurém, 4800-058 Guimarã es, Portugal
*
*Corresponding author. Email addresses: pedro.g.lind@forwind.de (P. G. Lind), adriano@dsi.uminho.pt(A. Moreira)
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Abstract

We present a study on human mobility at small spatial scales. Differently from large scale mobility, recently studied through dollar-bill tracking and mobile phone data sets within one big country or continent, we report Brownian features of human mobility at smaller scales. In particular, the scaling exponents found at the smallest scales is typically close to one-half, differently from the larger values for the exponent characterizing mobility at larger scales. We carefully analyze 12-month data of the Eduroam database within the Portuguese university of Minho. A full procedure is introduced with the aim of properly characterizing the human mobility within the network of access points composing the wireless system of the university. In particular, measures of flux are introduced for estimating a distance between access points. This distance is typically non-Euclidean, since the spatial constraints at such small scales distort the continuum space on which human mobility occurs. Since two different exponents are found depending on the scale human motion takes place, we raise the question at which scale the transition from Brownian to non-Brownian motion takes place. In this context, we discuss how the numerical approach can be extended to larger scales, using the full Eduroam in Europe and in Asia, for uncovering the transition between both dynamical regimes.

Keywords

89.75.Da89.75.Fb89.75.HcNetworksdata analysishuman mobility
Type
Research Article
Information
Communications in Computational Physics , Volume 18 , Issue 2 , August 2015 , pp. 417 - 428
Copyright
Copyright © Global-Science Press 2015 

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