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  1. Computational and Mathematical Organization Theory
  2. Computational and Mathematical Organization Theory : Volume 12
  3. Computational and Mathematical Organization Theory : Volume 12, Issue 1, April 2006
  4. Destabilization of covert networks
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Computational and Mathematical Organization Theory : Volume 23
Computational and Mathematical Organization Theory : Volume 22
Computational and Mathematical Organization Theory : Volume 21
Computational and Mathematical Organization Theory : Volume 20
Computational and Mathematical Organization Theory : Volume 19
Computational and Mathematical Organization Theory : Volume 18
Computational and Mathematical Organization Theory : Volume 17
Computational and Mathematical Organization Theory : Volume 16
Computational and Mathematical Organization Theory : Volume 15
Computational and Mathematical Organization Theory : Volume 14
Computational and Mathematical Organization Theory : Volume 13
Computational and Mathematical Organization Theory : Volume 12
Computational and Mathematical Organization Theory : Volume 12, Issue 4, December 2006
Computational and Mathematical Organization Theory : Volume 12, Issue 2-3, October 2006
Computational and Mathematical Organization Theory : Volume 12, Issue 1, April 2006
Introduction
Combating terrorist networks: An evolutionary approach
Identifying sets of key players in a social network
Using activity focus networks to pressure terrorist organizations
Destabilization of covert networks
Computational and Mathematical Organization Theory : Volume 11
Computational and Mathematical Organization Theory : Volume 10
Computational and Mathematical Organization Theory : Volume 9
Computational and Mathematical Organization Theory : Volume 8
Computational and Mathematical Organization Theory : Volume 7
Computational and Mathematical Organization Theory : Volume 6
Computational and Mathematical Organization Theory : Volume 5
Computational and Mathematical Organization Theory : Volume 4
Computational and Mathematical Organization Theory : Volume 3

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Destabilization of covert networks

Content Provider SpringerLink
Author Carley, Kathleen M.
Copyright Year 2006
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.
Starting Page 51
Ending Page 66
Page Count 16
File Format PDF
ISSN 1381298X
Journal Computational and Mathematical Organization Theory
Volume Number 12
Issue Number 1
e-ISSN 15729346
Language English
Publisher Kluwer Academic Publishers
Publisher Date 2006-01-01
Publisher Place Boston
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Terrorism Social networks Dynamic network analysis Multi-agent modeling Counter-terrorism Artificial Intelligence (incl. Robotics) Management Operations Research/Decision Theory Methodology of the Social Sciences Sociology
Content Type Text
Resource Type Article
Subject Applied Mathematics Computer Science Decision Sciences Computational Mathematics Modeling and Simulation
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