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Collective Response of Human Populations to Large-Scale Emergencies

Overview of attention for article published in PLOS ONE, March 2011
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Title
Collective Response of Human Populations to Large-Scale Emergencies
Published in
PLOS ONE, March 2011
DOI 10.1371/journal.pone.0017680
Pubmed ID
Authors

James P. Bagrow, Dashun Wang, Albert-László Barabási

Abstract

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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 283 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 6 2%
Germany 4 1%
United States 4 1%
Brazil 3 1%
United Kingdom 2 <1%
Japan 2 <1%
Czechia 1 <1%
Malaysia 1 <1%
France 1 <1%
Other 8 3%
Unknown 251 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 71 25%
Researcher 49 17%
Student > Master 36 13%
Professor > Associate Professor 23 8%
Student > Doctoral Student 17 6%
Other 47 17%
Unknown 40 14%
Readers by discipline Count As %
Computer Science 65 23%
Engineering 42 15%
Physics and Astronomy 25 9%
Social Sciences 20 7%
Agricultural and Biological Sciences 13 5%
Other 67 24%
Unknown 51 18%