JOURNAL ARTICLE

Using Social Network Analysis to Combat Organized Crime.

  • Published In: International Journal on Criminology, 2025, v. 12, n. 1. P. 1 1 of 3

  • Database: Criminal Justice Abstracts with Full Text 2 of 3

  • Authored By: Lebert, Didier 3 of 3

Abstract

The article focuses on the application of Social Network Analysis (SNA) to combat organized crime by evaluating the structure and vulnerabilities of criminal networks. It discusses how SNA can identify influential members and missing links within these networks, emphasizing that targeting less visible but central actors can be more effective than arresting prominent leaders. The study utilizes data from "Operation Montagna," which involved the Sicilian Mafia, to illustrate the effectiveness of SNA in dismantling criminal organizations through strategic node removal and the prediction of hidden relationships. The findings suggest that understanding the network's structure can enhance law enforcement strategies against organized crime. [Extracted from the article]

Additional Information

  • Source:International Journal on Criminology. 2025/09, Vol. 12, Issue 1, p1
  • Document Type:Article
  • Subject Area:Law
  • Publication Date:2025
  • ISSN:2333-9861
  • DOI:10.18278/ijc.12.1.1
  • Accession Number:189030625
  • Copyright Statement:Copyright of International Journal on Criminology is the property of Policy Studies Organization and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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