Title |
Collective Response of Human Populations to Large-Scale Emergencies
|
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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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 33% |
United Kingdom | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 100% |
Mendeley readers
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% |