Statistical modelling of a terrorist network | Zendy

Aitkin Murray | Zendy; Vu Duy | Zendy; Francis Brian | Zendy

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Statistical modelling of a terrorist network

Author(s) -

Aitkin Murray,

Vu Duy,

Francis Brian

Publication year - 2017

Publication title -

journal of the royal statistical society: series a (statistics in society)

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.103

H-Index - 84

eISSN - 1467-985X

pISSN - 0964-1998

DOI - 10.1111/rssa.12233

Subject(s) - terrorism , hierarchy , computer science , latent class model , statistical model , statistical analysis , network model , bayesian network , group (periodic table) , class (philosophy) , bayesian probability , computer security , criminology , artificial intelligence , psychology , machine learning , statistics , mathematics , political science , law , chemistry , organic chemistry

Summary The 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 organizers, and the group structure suggests a hierarchy of leaders, trainers and ‘foot soldiers’ who carry out the attacks.

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