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Uncovering individual and collective human dynamics from mobile phone records

Julián Candia1,2, Marta C González1,2, Pu Wang1,2, Timothy Schoenharl3, Greg Madey3 and Albert-László Barabási1,2,4

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Novel aspects of human dynamics and social interactions are investigated by means of mobile phone data. Using extensive phone records resolved in both time and space, we study the mean collective behavior at large scales and focus on the occurrence of anomalous events. We discuss how these spatiotemporal anomalies can be described using standard percolation theory tools. We also investigate patterns of calling activity at the individual level and show that the interevent time of consecutive calls is heavy-tailed. This finding, which has implications for dynamics of spreading phenomena in social networks, agrees with results previously reported on other human activities.


PACS

89.65.Lm Urban planning and construction

87.23.Cc Population dynamics and ecological pattern formation

87.18.Hf Spatiotemporal pattern formation in cellular populations

MSC

91D10 Models of societies, social and urban evolution

91D30 Social networks

92D25 Population dynamics (general)

Subjects

Biological physics

Environmental and Earth science

Statistical physics and nonlinear systems

Dates

Issue 22 (6 June 2008)

Received 16 October 2007, in final form 28 November 2007

Published 21 May 2008



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