Destabilization of covert networks

Kathleen M. Carley ()
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Kathleen M. Carley: Carnegie Mellon University

Computational and Mathematical Organization Theory, 2006, vol. 12, issue 1, No 5, 66 pages

Abstract: Abstract Covert networks are often difficult to reason about, manage and destabilize. In part, this is because they are a complex adaptive system. In addition, this is due to the nature of the data available on these systems. Making these covert networks less adaptive, more predictable, more consistent will make it easier to contain or constrain their activity. But, how can we inhibit adaptation? Herein, covert networks are characterized as dynamic multi-mode multi-plex networks. Dynamic network analysis tools are used to assess their structure and identify effective destabilization strategies that inhibit the adaptivity of these groups.

Keywords: Terrorism; Social networks; Dynamic network analysis; Multi-agent modeling; Counter-terrorism (search for similar items in EconPapers)
Date: 2006
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Citations: View citations in EconPapers (12)

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DOI: 10.1007/s10588-006-7083-y

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