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 …

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 …

Traditional social network analysis can be generalized to model some networked systems
by multilayer structures where the individual nodes develop relationships in multiple layers …

Real-world complex systems can be modeled as homogeneous or heterogeneous graphs
composed by nodes connected by edges. The importance of nodes and edges is formally …

The realization that society is structured in the form of networks caused a profound change
in the techniques and approaches applied in different areas of science. This impact is …

This study aims to improve our understanding of criminal accomplice selection by studying
the evolution of co-offending networks—ie, networks that connect those who commit crimes …

Random walks simulate the randomness of objects, and are key instruments in various fields
such as computer science, biology and physics. The counter part of classical random walks …

Network structure provides critical information for understanding the dynamic behavior of
complex systems. However, the complete structure of real-world networks is often …

Identifying critical nodes in networks is one of the important ways to explore the structural
and dynamic characteristics of networks. The existing evaluation of key nodes in multiple …