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 …

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 …

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 …

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 …

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 …

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 …

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 …

Link prediction is an important task in social network analysis and mining because of its
various applications. A large number of link prediction methods have been proposed …

In the real-world, there exist mutual dependencies among not only nodes but also edges.
Consequently, the study on the robustness of edge-coupling interdependent networks has …

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 …