Multilayer Network Analysis: The Identification of Key Actors in a Sicilian Mafia Operation
Annamaria Ficara, Giacomo Fiumara, Pasquale De Meo, Salvatore, Catanese

TL;DR
This paper constructs and analyzes a multilayer criminal network from an anti-mafia operation in Sicily, using multilayer network analysis to identify key actors involved in organized crime.
Contribution
It introduces a multilayer network model for criminal organizations and applies three different importance measures to identify key players.
Findings
Multilayer network effectively models complex criminal relationships.
Shared nodes across layers highlight central figures.
Analysis aids law enforcement in targeting key suspects.
Abstract
Recently, Social Network Analysis studies have led to an improvement and to a generalization of existing tools to networks with multiple subsystems and layers of connectivity. These kind of networks are usually called multilayer networks. Multilayer networks in which each layer shares at least one node with some other layer in the network are called multiplex networks. Being a multiplex network does not require all nodes to exist on every layer. In this paper, we built a criminal multiplex network which concerns an anti-mafia operation called "Montagna" and it is based on the examination of a pre-trial detention order issued on March 14, 2007 by the judge for preliminary investigations of the Court of Messina (Sicily). "Montagna" focus on two Mafia families called "Mistretta" and "Batanesi" who infiltrated several economic activities including the public works in the north-eastern part…
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