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    Rights statement: 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.

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Statistical modelling of a terrorist network

Research output: Contribution to journalJournal article

Published
<mark>Journal publication date</mark>06/2017
<mark>Journal</mark>Journal of the Royal Statistical Society: Series A (Statistics in Society)
Issue number3
Volume180
Number of pages18
Pages (from-to)751-768
Publication statusPublished
Early online date18/09/16
Original languageEnglish

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.

Bibliographic note

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.