Discovering structure in Islamist postings using systemic nets

Alsadhan, N; Skillicorn, DB

Discovering structure in Islamist postings using systemic nets

Alsadhan, N Skillicorn, DB

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Publication Type:: Conference Proceeding
Citation:: IEEE International Conference on Intelligence and Security Informatics: Cybersecurity and Big Data, ISI 2016, 2016, pp. 151 - 156
Issue Date:: 2016-11-15

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Field	Value	Language
dc.contributor.author	Alsadhan, N	en_US
dc.contributor.author	Skillicorn, DB	en_US
dc.date.issued	2016-11-15	en_US
dc.identifier.citation	IEEE International Conference on Intelligence and Security Informatics: Cybersecurity and Big Data, ISI 2016, 2016, pp. 151 - 156	en_US
dc.identifier.isbn	9781509038657	en_US
dc.identifier.uri	http://hdl.handle.net/10453/99969
dc.description.abstract	© 2016 IEEE. Textual analytics based on representations of documents as bags of words has been extremely successful. However, analysis that requires deeper insight into language, into author properties, or into the contexts in which documents were created requires a richer representation. Systemic nets are one such representation. The jihadist groups AQAP, ISIS, and the Taliban have all produced English magazines designed to influence Western sympathizers. Using a model of jihadi language, we construct a systemic functional net for these magazines, and contrast the structures revealed by clustering using words versus clustering using the choices implicit in systemic functional nets. We then show that the systemic functional net derived from the magazines is consistent with the structure present in two Islamist forums, and therefore reveals two different mindsets, one that is political and another that is religious, that seem widely held within the relevant communities.	en_US
dc.relation.ispartof	IEEE International Conference on Intelligence and Security Informatics: Cybersecurity and Big Data, ISI 2016	en_US
dc.relation.isbasedon	10.1109/ISI.2016.7745459	en_US
dc.title	Discovering structure in Islamist postings using systemic nets	en_US
dc.type	Conference Proceeding
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

© 2016 IEEE. Textual analytics based on representations of documents as bags of words has been extremely successful. However, analysis that requires deeper insight into language, into author properties, or into the contexts in which documents were created requires a richer representation. Systemic nets are one such representation. The jihadist groups AQAP, ISIS, and the Taliban have all produced English magazines designed to influence Western sympathizers. Using a model of jihadi language, we construct a systemic functional net for these magazines, and contrast the structures revealed by clustering using words versus clustering using the choices implicit in systemic functional nets. We then show that the systemic functional net derived from the magazines is consistent with the structure present in two Islamist forums, and therefore reveals two different mindsets, one that is political and another that is religious, that seem widely held within the relevant communities.

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http://hdl.handle.net/10453/99969