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Network Features in Criminal Applications

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  • UserLucia Cavallaro (Radboud Universiteit Nijmegen)
  • ClockMonday 12 August 2024, 11:00-12:00
  • HouseExternal.

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HTA - Hypergraphs: Theory and Applications

This talk shows how Network Science can be applied to analyze criminal networks in the specific context of Sicilian Mafia gangs. Key findings confirm that Betweenness Centrality is the most effective node ranking strategy for rapidly disrupting the information flow within these networks. Additionally, even with a large fraction of missing links (up to 30%), representing interceptions missed by Law Enforcement Agencies (LEAs), the networks remain reliable for investigative purposes. 

This talk is part of the Isaac Newton Institute Seminar Series series.

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