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SUMMARY:Network Features in Criminal Applications - Lucia Cavallaro (Radbo
 ud Universiteit Nijmegen)
DTSTART:20240812T100000Z
DTEND:20240812T110000Z
UID:TALK219322@talks.cam.ac.uk
DESCRIPTION:This talk shows how Network Science can be applied to analyze 
 criminal networks in the specific context of Sicilian Mafia gangs. Key fin
 dings confirm that Betweenness Centrality is the most effective node ranki
 ng strategy for rapidly disrupting the information flow within these netwo
 rks. 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.&nbsp\;
LOCATION:External
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