Uncovering individual and collective human dynamics from mobile phone records

Date
Authors
Candia, J.
González, M. C.
Wang, P.
Schoenharl, T.
Madey, G.
Barabási, A. -L.
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Description
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.
Comment: 16 pages, 7 figures; minor changes. To appear in J. Phys. A
Keywords
Physics - Physics and Society, Physics - Data Analysis, Statistics and Probability
Citation
Collections