Collective Response of Human Populations to Large-Scale Emergencies

被引:210
作者
Bagrow, James P. [1 ,2 ]
Wang, Dashun [1 ,2 ]
Barabasi, Albert-Laszlo [1 ,2 ,3 ]
机构
[1] Northeastern Univ, Dept Phys, Ctr Complex Network Res, Boston, MA 02115 USA
[2] Dana Farber Canc Inst, Ctr Canc Syst Biol, Boston, MA 02115 USA
[3] Harvard Univ, Sch Med, Dept Med, Boston, MA USA
来源
PLOS ONE | 2011年 / 6卷 / 03期
基金
美国国家科学基金会;
关键词
MOBILE COMMUNICATION-NETWORKS; PREDICTABILITY; EPIDEMICS; BEHAVIOR; LAWS;
D O I
10.1371/journal.pone.0017680
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Despite recent advances in uncovering the quantitative features of stationary human activity patterns, many applications, from pandemic prediction to emergency response, require an understanding of how these patterns change when the population encounters unfamiliar conditions. To explore societal response to external perturbations we identified real-time changes in communication and mobility patterns in the vicinity of eight emergencies, such as bomb attacks and earthquakes, comparing these with eight non-emergencies, like concerts and sporting events. We find that communication spikes accompanying emergencies are both spatially and temporally localized, but information about emergencies spreads globally, resulting in communication avalanches that engage in a significant manner the social network of eyewitnesses. These results offer a quantitative view of behavioral changes in human activity under extreme conditions, with potential long-term impact on emergency detection and response.
引用
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页数:8
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