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Exploring the mobility of mobile phone users

Balázs Csanád Csáji, Arnaud Browet, Vincent Traag, Jean‐Charles Delvenne, Etienne Huens, Paul M. Van Dooren, Zbigniew Smoreda, Vincent D. Blondel

2012-11-27articlePhysica A Statistical Mechanics and its Applications239 citationsgreen

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Human Mobility and Location-Based Analysis Complex Network Analysis Techniques Data Management and Algorithms

Abstract

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Citations in this library

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References

2008Understanding individual human mobility patterns

2010Limits of Predictability in Human Mobility

2006The scaling laws of human travel

2012A universal model for mobility and migration patterns

2008Uncovering individual and collective human dynamics from mobile phone records

2009Understanding individual human mobility patterns

2010Inferring social ties from geographic coincidences

2011Collective Response of Human Populations to Large-Scale Emergencies

Cited by

2017On data processing required to derive mobility patterns from passively-generated mobile phone data

2018Human mobility and socioeconomic status: Analysis of Singapore and Boston

2018Spatiotemporal distribution characteristics and mechanism analysis of urban population density: A case of Xi'an, Shaanxi, China

2014Data from mobile phone operators: A tool for smarter cities?

2019Inferring dynamic origin-destination flows by transport mode using mobile phone data

2015Everyday space–time geographies: using mobile phone-based sensor data to monitor urban activity in Harbin, Paris, and Tallinn

2013Delineating Geographical Regions with Networks of Human Interactions in an Extensive Set of Countries

2016Another Tale of Two Cities: Understanding Human Activity Space Using Actively Tracked Cellphone Location Data

Details

Year2012

Typearticle

VenuePhysica A Statistical Mechanics and its Applications

Languageen

Files0 public / 0

Identifiers

doi10.1016/j.physa.2012.11.040

openalex_workW2004602565

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