Study of human mobility patterns through the use of mobile phone communication
.
M. Gonzalez, and A. Barabasi. Abstract Book of the XXIII IUPAP International Conference on Statistical Physics, Genova, Italy, (9-13 July 2007)
Abstract
If you have a cell phone, your carrier knows always your whereabouts. In
industrial countries with almost 100% mobile penetration, these records
represent a huge
opportunity to science, offering access to patterns of human mobility at a level
and detail unimaginable before. Each cell phone communicates with the closest
towers, which naturally partition a country into distinct geographic cells.
Given that
calls are recorded for billing purposes, one can reconstruct the movement of
each mobile
phone user. Using a data set over a million of individual displacements, we
quantify the main features of human daily travels witihin a country. First, the
distribution of traveling distance decays as a power law. Second, individuals
move
in confined areas with a characteristic length or radius of gyration, with the
distribution of this radius being heavy tailed. We show that human traveling
behavior can be
described mathematically on many spatiotemporal scales to a surprising accuracy
by a sort of centrally biased random walk.
%0 Book Section
%1 statphys23_0875
%A Gonzalez, M.C.
%A Barabasi, A.L.
%B Abstract Book of the XXIII IUPAP International Conference on Statistical Physics
%C Genova, Italy
%D 2007
%E Pietronero, Luciano
%E Loreto, Vittorio
%E Zapperi, Stefano
%K cell detection dynamics human networks pattern phone random statphys23 topic-11 walks
%T Study of human mobility patterns through the use of mobile phone communication
.
%U http://st23.statphys23.org/webservices/abstract/preview_pop.php?ID_PAPER=875
%X If you have a cell phone, your carrier knows always your whereabouts. In
industrial countries with almost 100% mobile penetration, these records
represent a huge
opportunity to science, offering access to patterns of human mobility at a level
and detail unimaginable before. Each cell phone communicates with the closest
towers, which naturally partition a country into distinct geographic cells.
Given that
calls are recorded for billing purposes, one can reconstruct the movement of
each mobile
phone user. Using a data set over a million of individual displacements, we
quantify the main features of human daily travels witihin a country. First, the
distribution of traveling distance decays as a power law. Second, individuals
move
in confined areas with a characteristic length or radius of gyration, with the
distribution of this radius being heavy tailed. We show that human traveling
behavior can be
described mathematically on many spatiotemporal scales to a surprising accuracy
by a sort of centrally biased random walk.
@incollection{statphys23_0875,
abstract = {If you have a cell phone, your carrier knows always your whereabouts. In
industrial countries with almost 100% mobile penetration, these records
represent a huge
opportunity to science, offering access to patterns of human mobility at a level
and detail unimaginable before. Each cell phone communicates with the closest
towers, which naturally partition a country into distinct geographic cells.
Given that
calls are recorded for billing purposes, one can reconstruct the movement of
each mobile
phone user. Using a data set over a million of individual displacements, we
quantify the main features of human daily travels witihin a country. First, the
distribution of traveling distance decays as a power law. Second, individuals
move
in confined areas with a characteristic length or radius of gyration, with the
distribution of this radius being heavy tailed. We show that human traveling
behavior can be
described mathematically on many spatiotemporal scales to a surprising accuracy
by a sort of centrally biased random walk.},
added-at = {2007-06-20T10:16:09.000+0200},
address = {Genova, Italy},
author = {Gonzalez, M.C. and Barabasi, A.L.},
biburl = {https://www.bibsonomy.org/bibtex/2e460219b3ca50dbaea5ce61d9310cd1a/statphys23},
booktitle = {Abstract Book of the XXIII IUPAP International Conference on Statistical Physics},
editor = {Pietronero, Luciano and Loreto, Vittorio and Zapperi, Stefano},
interhash = {be565646c6238b4e87e0c865e49045dc},
intrahash = {e460219b3ca50dbaea5ce61d9310cd1a},
keywords = {cell detection dynamics human networks pattern phone random statphys23 topic-11 walks},
month = {9-13 July},
timestamp = {2007-06-20T10:16:31.000+0200},
title = {Study of human mobility patterns through the use of mobile phone communication
.},
url = {http://st23.statphys23.org/webservices/abstract/preview_pop.php?ID_PAPER=875},
year = 2007
}