activity
20162023
most citedSupervised Feature Selection Techniques in Network Intrusion Detection: a Critical Review

183 citations · 445 across the 12 of their papers we have counts for

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Showing cs.SIShow all

5 papers · 1 filter

cs.SI2021★ 9 cited

Graph and Network Theory for the analysis of Criminal Networks

Lucia Cavallaro, Ovidiu Bagdasar, Pasquale De Meo +2

Social Network Analysis is the use of Network and Graph Theory to study social phenomena, which was found to be highly relevant in areas like Criminology. This chapter provides an…

cs.SI2021

Correlation analysis of node and edge centrality measures in artificial complex networks

Annamaria Ficara, Giacomo Fiumara, Pasquale De Meo +1

The importance of a node in a social network is identified through a set of measures called centrality. Degree centrality, closeness centrality, betweenness centrality and clusteri…

cs.SI2021

Criminal Networks Analysis in Missing Data scenarios through Graph Distances

Annamaria Ficara, Lucia Cavallaro, Francesco Curreri +5

Data collected in criminal investigations may suffer from: (i) incompleteness, due to the covert nature of criminal organisations; (ii) incorrectness, caused by either unintentiona…

cs.SI2020★ 11 cited

Correlations among Game of Thieves and other centrality measures in complex networks

Annamaria Ficara, Giacomo Fiumara, Pasquale De Meo +1

Social Network Analysis (SNA) is used to study the exchange of resources among individuals, groups, or organizations. The role of individuals or connections in a network is describ…

cs.SI2020

Disrupting Resilient Criminal Networks through Data Analysis: The case of Sicilian Mafia

Lucia Cavallaro, Annamaria Ficara, Pasquale De Meo +4

Compared to other types of social networks, criminal networks present hard challenges, due to their strong resilience to disruption, which poses severe hurdles to law-enforcement a…