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Exploring the mobility of mobile phone users

Author

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  • Csáji, Balázs Cs.
  • Browet, Arnaud
  • Traag, V.A.
  • Delvenne, Jean-Charles
  • Huens, Etienne
  • Van Dooren, Paul
  • Smoreda, Zbigniew
  • Blondel, Vincent D.

Abstract

Mobile phone datasets allow for the analysis of human behavior on an unprecedented scale. The social network, temporal dynamics and mobile behavior of mobile phone users have often been analyzed independently from each other using mobile phone datasets. In this article, we explore the connections between various features of human behavior extracted from a large mobile phone dataset. Our observations are based on the analysis of communication data of 100,000 anonymized and randomly chosen individuals in a dataset of communications in Portugal. We show that clustering and principal component analysis allow for a significant dimension reduction with limited loss of information. The most important features are related to geographical location. In particular, we observe that most people spend most of their time at only a few locations. With the help of clustering methods, we then robustly identify home and office locations and compare the results with official census data. Finally, we analyze the geographic spread of users’ frequent locations and show that commuting distances can be reasonably well explained by a gravity model.

Suggested Citation

  • Csáji, Balázs Cs. & Browet, Arnaud & Traag, V.A. & Delvenne, Jean-Charles & Huens, Etienne & Van Dooren, Paul & Smoreda, Zbigniew & Blondel, Vincent D., 2013. "Exploring the mobility of mobile phone users," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(6), pages 1459-1473.
    • Handle: RePEc:eee:phsmap:v:392:y:2013:i:6:p:1459-1473
    DOI: 10.1016/j.physa.2012.11.040
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    References listed on IDEAS

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    1. Li, Baibing & Martin, Elaine B. & Morris, A. Julian, 2002. "On principal component analysis in L1," Computational Statistics & Data Analysis, Elsevier, vol. 40(3), pages 471-474, September.
    2. Lambiotte, Renaud & Blondel, Vincent D. & de Kerchove, Cristobald & Huens, Etienne & Prieur, Christophe & Smoreda, Zbigniew & Van Dooren, Paul, 2008. "Geographical dispersal of mobile communication networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(21), pages 5317-5325.
    3. Paolo Bajardi & Chiara Poletto & Jose J Ramasco & Michele Tizzoni & Vittoria Colizza & Alessandro Vespignani, 2011. "Human Mobility Networks, Travel Restrictions, and the Global Spread of 2009 H1N1 Pandemic," PLOS ONE, Public Library of Science, vol. 6(1), pages 1-8, January.
    4. Levy, Moshe, 2010. "Scale-free human migration and the geography of social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4913-4917.
    5. D. Brockmann & L. Hufnagel & T. Geisel, 2006. "The scaling laws of human travel," Nature, Nature, vol. 439(7075), pages 462-465, January.
    6. Francesco Calabrese & Zbigniew Smoreda & Vincent D Blondel & Carlo Ratti, 2011. "Interplay between Telecommunications and Face-to-Face Interactions: A Study Using Mobile Phone Data," PLOS ONE, Public Library of Science, vol. 6(7), pages 1-6, July.
    7. Filippo Simini & Marta C. González & Amos Maritan & Albert-László Barabási, 2012. "A universal model for mobility and migration patterns," Nature, Nature, vol. 484(7392), pages 96-100, April.
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