Predictive analysis of concealed social network activities based on communication technology choices: early-warning detection of attack signals from terrorist organizations |
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Authors: | Katya Drozdova Michael Samoilov |
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Institution: | (1) Research and Documentation Centre (WODC), Ministry of Justice, P.O. Box 20301, 2500 EH The Hague, the Netherlands |
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Abstract: | Terrorist threat prevention and counteraction require timely detection of hostile plans. However, adversary efforts at concealment
and other challenges involved in monitoring terrorist organizations may impede timely intelligence acquisition or interpretation.
This study develops an approach to analyzing technological means rather than content of communications produced within the
social networks comprising covert organizations, and shows how it can be applied towards detecting terrorist attack precursors.
We find that differential usage patterns of hi-tech versus low-tech communication solutions could reveal significant information
about organizational activities, which may be further used to detect signals of impending terrorist attacks. (Such potential
practical utility of our method is supported by the detailed empirical analysis of available al Qaeda communications.) The
described approach thus provides a common framework for utilizing diverse activity records from heterogeneous sources as well
as contributes new tools for their rapid analysis aimed at better informing operational and policy decision-making. |
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