A review of research in illicit supply-chain networks and new directions to thwart them
Illicit trades have emerged as a significant problem to almost every government across the
world. Their gradual expansion and diversification throughout the years suggests the …
world. Their gradual expansion and diversification throughout the years suggests the …
The invisible arms race: digital trends in illicit goods trafficking and AI-enabled responses
I Mademlis, M Mancuso, C Paternoster… - … on Technology and …, 2024 - ieeexplore.ieee.org
Recent trends in the modus operandi of technologically-aware criminal groups engaged in
illicit goods trafficking (eg, firearms, drugs, cultural artifacts, etc.) have given rise to …
illicit goods trafficking (eg, firearms, drugs, cultural artifacts, etc.) have given rise to …
Machine learning partners in criminal networks
Recent research has shown that criminal networks have complex organizational structures,
but whether this can be used to predict static and dynamic properties of criminal networks …
but whether this can be used to predict static and dynamic properties of criminal networks …
Link prediction algorithm based on the initial information contribution of nodes
Y Liu, S Liu, F Yu, X Yang - Information Sciences, 2022 - Elsevier
Many link prediction algorithms have originated from the process of information transmission
between nodes in recent years. Despite these algorithms can obtain great prediction results …
between nodes in recent years. Despite these algorithms can obtain great prediction results …
Human and social capital strategies for Mafia network disruption
Social Network Analysis (SNA) is an interdisciplinary science that focuses on discovering
the patterns of individuals interactions. In particular, practitioners have used SNA to describe …
the patterns of individuals interactions. In particular, practitioners have used SNA to describe …
Covert network construction, disruption, and resilience: a survey
Covert networks refer to criminal organizations that operate outside the boundaries of the
law; they can be mainly classified as terrorist networks and criminal networks. We consider …
law; they can be mainly classified as terrorist networks and criminal networks. We consider …
Features fusion based link prediction in dynamic neworks
Link prediction is the process of detecting new or missing links in any network. This work
focuses on link prediction in dynamic networks. One of the major challenges of the link …
focuses on link prediction in dynamic networks. One of the major challenges of the link …
Risk analysis sampling methods in terrorist networks based on the Banzhaf value
E Algaba, A Prieto, A Saavedra‐Nieves - Risk analysis, 2024 - Wiley Online Library
This article introduces the Banzhaf and the Banzhaf–Owen values as novel measures of risk
analysis of a terrorist attack, determining the most dangerous terrorists in a network. This …
analysis of a terrorist attack, determining the most dangerous terrorists in a network. This …
Criminal networks analysis in missing data scenarios through graph distances
Data collected in criminal investigations may suffer from issues like:(i) incompleteness, due
to the covert nature of criminal organizations;(ii) incorrectness, caused by either …
to the covert nature of criminal organizations;(ii) incorrectness, caused by either …
[HTML][HTML] Uncovering the degree of criminal organization: Swedish street gangs and the role of mobility and co-offending networks
In this study we investigate organized crime by studying the degree of criminal organization.
We use population-level register data on criminal suspicions between 2011 and 2016 to …
We use population-level register data on criminal suspicions between 2011 and 2016 to …