Aitkin, Murray and Vu, Duy and Francis, Brian Joseph (2017) Statistical modelling of a terrorist network. Journal of the Royal Statistical Society: Series A Statistics in Society, 180 (3). pp. 751-768. ISSN 0964-1998
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Abstract
This paper investigates the group structure in a terrorist network through the latent class model and a Bayesian model comparison method for the number of latent classes. The analysis of the terrorist network is sensitive to the model specification. Under one model it clearly identifies a group containing the leaders and organisers, and the group structure suggests a hierarchy of leaders, trainers and “footsoldiers” who carry out the attacks.
Item Type:
Journal Article
Journal or Publication Title:
Journal of the Royal Statistical Society: Series A Statistics in Society
Additional Information:
This is the peer reviewed version of the following article: Aitkin, M., Vu, D. and Francis, B. (2017), Statistical modelling of a terrorist network. J. R. Stat. Soc. A, 180: 751–768. doi:10.1111/rssa.12233 which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1111/rssa.12233 This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for self-archiving.
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2000/2002
Subjects:
?? terrorist groupslatent class analysisbayesian model comparisonnoordin topeconomics and econometricssocial sciences (miscellaneous)statistics and probabilitystatistics, probability and uncertainty ??
Departments:
ID Code:
80177
Deposited By:
Deposited On:
24 Jun 2016 13:16
Refereed?:
Yes
Published?:
Published
Last Modified:
01 Oct 2024 00:15