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A Generalized Aggregation-Disintegration Model for the Frequency of Severe Terrorist Attacks

Bibliographic Data

ID6284883
AuthorsAaron Clauset (0000-0002-3529-8746, Santa Fe Institute, NM, corresponding author), Frederik W Wiegel (University of Amsterdam, The Netherlands)
Year2010
Volume54
Issue1
Pages179-197
Publication date2010-02-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Conflict Resolution (JOURNAL)
Journal identifiersISSN: 0022-0027 • E-ISSN: 1552-8766
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/0022002709352452
OpenAlexW2160075231
LanguageEN
Citations received7
References cited28

The authors present and analyze a model of the frequency of severe terrorist attacks, which generalizes the recently proposed model of Johnson et al. This model, which is based on the notion of self-organized criticality and which describes how terrorist cells might aggregate and disintegrate over time, predicts that the distribution of attack severities should follow a power-law form with an exponent of α = 5/2. This prediction is in good agreement with current empirical estimates for terrorist attacks worldwide, which give α = 2.4 ± 0.2 and which the authors show is independent of certain details of the model. The authors close by discussing the utility of this model for understanding terrorism and the behavior of terrorist organizations and mention several productive ways it could be extended mathematically or tested empirically

Aggregate (composite · Computer security · Criticality · Distribution (mathematics · Econometrics · Economics · Exponent · Mathematical analysis · Physics · Political science · Power (physics · Power law · Self-organized criticality · Statistical physics · Statistics · Terrorism · Computer Science · COVID-19 epidemiological studies · Law · Mathematical and Theoretical Epidemiology and Ecology Models · Mathematics · Terrorism, Counterterrorism, and Political Violence

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Unique citing works7
Citations per year0,47
Citation span2011 - 2026 (16)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 7

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