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Destabilization of covert networks

Author

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  • Kathleen M. Carley

    (Carnegie Mellon University)

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.

Suggested Citation

  • Kathleen M. Carley, 2006. "Destabilization of covert networks," Computational and Mathematical Organization Theory, Springer, vol. 12(1), pages 51-66, April.
    • Handle: RePEc:spr:comaot:v:12:y:2006:i:1:d:10.1007_s10588-006-7083-y
    DOI: 10.1007/s10588-006-7083-y
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    Citations

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    Cited by:

    1. Kathleen M. Carley & Michael W. Bigrigg & Boubacar Diallo, 2012. "Data-to-model: a mixed initiative approach for rapid ethnographic assessment," Computational and Mathematical Organization Theory, Springer, vol. 18(3), pages 300-327, September.
    2. Virginie Masson & Kelsey Wilkins, 2013. "The Small World of 9/11 and the Implications for Network Dismantlement Strategies," School of Economics and Public Policy Working Papers 2013-08, University of Adelaide, School of Economics and Public Policy.
    3. A. Fronzetti Colladon & E. Remondi, 2021. "Using social network analysis to prevent money laundering," Papers 2105.05793, arXiv.org.
    4. Manzi, Deborah & Calderoni, Francesco, 2024. "The resilience of drug trafficking organizations: Simulating the impact of police arresting key roles," Journal of Criminal Justice, Elsevier, vol. 91(C).
    5. Alexandra-Maria Bocse, 0. "Hybrid transnational advocacy networks in environmental protection: banning the use of cyanide in European gold mining," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 0, pages 1-19.
    6. Morgan Burcher & Chad Whelan, 2015. "Social network analysis and small group ‘dark’ networks: an analysis of the London bombers and the problem of ‘fuzzy’ boundaries," Global Crime, Taylor & Francis Journals, vol. 16(2), pages 104-122, April.
    7. Lindelauf, R. & Borm, P.E.M. & Hamers, H.J.M., 2009. "Understanding Terrorist Network Topologies and Their Resilience Against Disruption," Discussion Paper 2009-85, Tilburg University, Center for Economic Research.
    8. Brandy L. Aven, 2015. "The Paradox of Corrupt Networks: An Analysis of Organizational Crime at Enron," Organization Science, INFORMS, vol. 26(4), pages 980-996, August.
    9. Alexandra-Maria Bocse, 2021. "Hybrid transnational advocacy networks in environmental protection: banning the use of cyanide in European gold mining," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 21(2), pages 285-303, June.
    10. Terrill L. Frantz & Kathleen M. Carley, 2017. "Reporting a network’s most-central actor with a confidence level," Computational and Mathematical Organization Theory, Springer, vol. 23(2), pages 301-312, June.
    11. Sara Jeza Alotaibi, 2022. "A New Internet of Things (IoT) Framework for Public Sectors," International Journal of Information Technology and Web Engineering (IJITWE), IGI Global, vol. 17(1), pages 1-15, January.

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