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Statistical modelling of a terrorist network

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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    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 This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for self-archiving.
    Uncontrolled Keywords: terrorist groups ; latent class analysis ; Bayesian model comparison ; Noordin Top
    Departments: Faculty of Science and Technology > Mathematics and Statistics
    ID Code: 80177
    Deposited By: ep_importer_pure
    Deposited On: 24 Jun 2016 14:16
    Refereed?: Yes
    Published?: Published
    Last Modified: 22 Jun 2018 00:56
    Identification Number:

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