activity
20202025
most citedSmart Anomaly Detection in Sensor Systems: A Multi-Perspective Review

306 citations · 441 across the 5 of their papers we have counts for

collaborators

5 papers

physics.soc-ph2025

Comprehensive indicators and fine granularity refine density scaling laws in rural-urban systems

Jack Sutton, Quentin S. Hanley, Gerri Mortimore +5

Density scaling laws complement traditional population scaling laws by enabling the analysis of the full range of human settlements and revealing rural-to-urban transitions with br…

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★ 34 cited

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.LG2020★ 306 cited

Smart Anomaly Detection in Sensor Systems: A Multi-Perspective Review

L. Erhan, M. Ndubuaku, M. Di Mauro +5

Anomaly detection is concerned with identifying data patterns that deviate remarkably from the expected behaviour. This is an important research problem, due to its broad set of ap…

cs.SI2020★ 92 cited

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…