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Global Civil Unrest: Contagion, Self-Organization, and Prediction

Overview of attention for article published in PLOS ONE, October 2012
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Title
Global Civil Unrest: Contagion, Self-Organization, and Prediction
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0048596
Pubmed ID
Authors

Dan Braha

Abstract

Civil unrest is a powerful form of collective human dynamics, which has led to major transitions of societies in modern history. The study of collective human dynamics, including collective aggression, has been the focus of much discussion in the context of modeling and identification of universal patterns of behavior. In contrast, the possibility that civil unrest activities, across countries and over long time periods, are governed by universal mechanisms has not been explored. Here, records of civil unrest of 170 countries during the period 1919-2008 are analyzed. It is demonstrated that the distributions of the number of unrest events per year are robustly reproduced by a nonlinear, spatially extended dynamical model, which reflects the spread of civil disorder between geographic regions connected through social and communication networks. The results also expose the similarity between global social instability and the dynamics of natural hazards and epidemics.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Netherlands 2 1%
Portugal 1 <1%
Australia 1 <1%
Italy 1 <1%
United Kingdom 1 <1%
Brazil 1 <1%
Unknown 145 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 27 17%
Researcher 23 15%
Student > Ph. D. Student 20 13%
Student > Bachelor 16 10%
Student > Doctoral Student 7 5%
Other 25 16%
Unknown 37 24%
Readers by discipline Count As %
Computer Science 25 16%
Social Sciences 23 15%
Business, Management and Accounting 12 8%
Economics, Econometrics and Finance 9 6%
Physics and Astronomy 8 5%
Other 40 26%
Unknown 38 25%