Year: 2008
Type: article
Abstract: 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.
Authors: Julián Candia, Marta C González, Pu Wang, Timothy Schoenharl, Greg Madey, Albert-László Barabási
Language: English
Subfield: Transportation
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
Awards: G1815904028, Acquisition of the Notre Dame Biocomplexity Computer Cluster, DDDAS-SMRP: Integrated Wireless Phone Based Emergency Response System (WIPER), ITR - (ASE+NHS) - (SIM+SOC): Characterizing the Dynamics of Complex Networks, NetWorkBench: A Large-Scale Network Analysis, Modeling, and Visualization Toolkit for Biomedical, Social Science, and Physics Research, G8876996369
OpenAlex ID: W2108432893