Disrupting resilient criminal networks through data analysis: The case of Sicilian Mafia.
Compared to other types of social networks, criminal networks present particularly hard challenges, due to their strong resilience to disruption, which poses severe hurdles to Law-Enforcement Agencies (LEAs). Herein, we borrow methods and tools from Social Network Analysis (SNA) to (i) unveil the st...
Main Authors: | Lucia Cavallaro, Annamaria Ficara, Pasquale De Meo, Giacomo Fiumara, Salvatore Catanese, Ovidiu Bagdasar, Wei Song, Antonio Liotta |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2020-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0236476 |
Similar Items
-
Criminal networks analysis in missing data scenarios through graph distances.
by: Annamaria Ficara, et al.
Published: (2021-01-01) -
Criminal networks analysis in missing data scenarios through graph distances
by: Annamaria Ficara, et al.
Published: (2021-01-01) -
Resilience in criminal networks
by: Salvatore Catanese, et al.
Published: (2016-05-01) -
The Whole Is Greater than the Sum of the Parts: A Multilayer Approach on Criminal Networks
by: Catanese, S., et al.
Published: (2022) -
The Sicilian Mafia: transformation to a global evil A Máfia siciliana: a transformação num mal global
by: Deborah Puccio-Den
Published: (2008-11-01)