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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

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Statistical modelling of a terrorist network. / Aitkin, Murray; Vu, Duy; Francis, Brian Joseph.
In: Journal of the Royal Statistical Society: Series A Statistics in Society, Vol. 180, No. 3, 06.2017, p. 751-768.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Aitkin, M, Vu, D & Francis, BJ 2017, 'Statistical modelling of a terrorist network', Journal of the Royal Statistical Society: Series A Statistics in Society, vol. 180, no. 3, pp. 751-768. https://doi.org/10.1111/rssa.12233

APA

Aitkin, M., Vu, D., & Francis, B. J. (2017). Statistical modelling of a terrorist network. Journal of the Royal Statistical Society: Series A Statistics in Society, 180(3), 751-768. https://doi.org/10.1111/rssa.12233

Vancouver

Aitkin M, Vu D, Francis BJ. Statistical modelling of a terrorist network. Journal of the Royal Statistical Society: Series A Statistics in Society. 2017 Jun;180(3):751-768. Epub 2016 Sept 18. doi: 10.1111/rssa.12233

Author

Aitkin, Murray ; Vu, Duy ; Francis, Brian Joseph. / Statistical modelling of a terrorist network. In: Journal of the Royal Statistical Society: Series A Statistics in Society. 2017 ; Vol. 180, No. 3. pp. 751-768.

Bibtex

@article{8b93a5bc7b724667a42ccba75afda808,
title = "Statistical modelling of a terrorist network",
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.",
keywords = "terrorist groups, latent class analysis, Bayesian model comparison, Noordin Top",
author = "Murray Aitkin and Duy Vu and Francis, {Brian Joseph}",
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.",
year = "2017",
month = jun,
doi = "10.1111/rssa.12233",
language = "English",
volume = "180",
pages = "751--768",
journal = "Journal of the Royal Statistical Society: Series A Statistics in Society",
issn = "0964-1998",
publisher = "Wiley",
number = "3",

}

RIS

TY - JOUR

T1 - Statistical modelling of a terrorist network

AU - Aitkin, Murray

AU - Vu, Duy

AU - Francis, Brian Joseph

N1 - 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.

PY - 2017/6

Y1 - 2017/6

N2 - 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.

AB - 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.

KW - terrorist groups

KW - latent class analysis

KW - Bayesian model comparison

KW - Noordin Top

U2 - 10.1111/rssa.12233

DO - 10.1111/rssa.12233

M3 - Journal article

VL - 180

SP - 751

EP - 768

JO - Journal of the Royal Statistical Society: Series A Statistics in Society

JF - Journal of the Royal Statistical Society: Series A Statistics in Society

SN - 0964-1998

IS - 3

ER -