@article{fa80cd5e64d8465fab7daa0a12e2c6b8,
title = "Quantifying information flow during emergencies",
abstract = "Recent advances on human dynamics have focused on the normal patterns of human activities, with the quantitative understanding of human behavior under extreme events remaining a crucial missing chapter. This has a wide array of potential applications, ranging from emergency response and detection to traffic control and management. Previous studies have shown that human communications are both temporally and spatially localized following the onset of emergencies, indicating that social propagation is a primary means to propagate situational awareness. We study real anomalous events using country-wide mobile phone data, finding that information flow during emergencies is dominated by repeated communications. We further demonstrate that the observed communication patterns cannot be explained by inherent reciprocity in social networks, and are universal across different demographics.",
author = "Liang Gao and Chaoming Song and Ziyou Gao and Barab{\'a}si, {Albert L{\'a}szl{\'o}} and Bagrow, {James P.} and Dashun Wang",
note = "Funding Information: This work was supported by the Network Science Collaborative Technology Alliance sponsored by the US Army Research Laboratory under Agreement Number W911NF-09-2-0053; the Office of Naval Research under Agreement Number N000141010968; the Defense Threat Reduction Agency awards WMD BRBAA07-J-2-0035 and BRBAA08-Per4-C-2-0033; and the James S. Mc-Donnell Foundation 21st Century Initiative in Studying Complex Systems. L. Gao and Z. Gao thank the financial support from the Major State Basic Research Development Program of China (973 Program) No. 2012CB725400, the China Scholarship Council, the National Natural Science Foundation of China (71101009, 71131001), and the Fundamental Research Funds for the Central Universities No. 2012JBM067.",
year = "2014",
month = feb,
day = "6",
doi = "10.1038/srep03997",
language = "English (US)",
volume = "4",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "Nature Publishing Group",
}