IDEAS home Printed from https://ideas.repec.org/a/taf/ftpvxx/v37y2025i5p573-588.html
   My bibliography  Save this article

Typology of Terrorist Profiling Using Centrality Metrics: Hinge Figures, Influential Operatives and Trusted Assets

Author

Listed:
  • Elena A. López Werner

Abstract

The increase in terrorist activity worldwide has prompted the development of research tools and methodologies to study the phenomenon of terrorism. Among them, social network analysis (SNA) has found its way into the security studies discipline, which, despite its still timid presence, has increasingly been proven to be a useful tool for detecting underlying structures and key actors. This article seeks to contribute to the body of knowledge on the uses of SNA in the study of covert networks by testing the usefulness of metrics such as betweenness, closeness, and eigenvector centrality in identifying terrorist roles and functions in the cells that were behind the major terrorist attacks orchestrated by the Islamic State’s external operations apparatus. The study ends with the proposal of a new typology of terrorist profiling according to the results obtained from centrality measures: hinge figures, influential operatives and trusted assets.

Suggested Citation

  • Elena A. López Werner, 2025. "Typology of Terrorist Profiling Using Centrality Metrics: Hinge Figures, Influential Operatives and Trusted Assets," Terrorism and Political Violence, Taylor & Francis Journals, vol. 37(5), pages 573-588, July.
  • Handle: RePEc:taf:ftpvxx:v:37:y:2025:i:5:p:573-588
    DOI: 10.1080/09546553.2024.2342866
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/09546553.2024.2342866
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/09546553.2024.2342866?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:ftpvxx:v:37:y:2025:i:5:p:573-588. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/ftpv20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.