Network science offers powerful tools to model complex social systems. Most social network
science research focuses on topological networks by simply considering the binary state of …

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 …

This survey paper offers a thorough analysis of techniques and algorithms used in the
identification of crime leaders within criminal networks. For each technique, the paper …

Researchers analyze underground forums to study abuse and cybercrime activities. Due to
the size of the forums and the domain expertise required to identify criminal discussions …

Numerous studies have explored airline competition on routes, with a limited focus on
competition in route portfolios at hub airports. Route control regulations influence this …

As modern network communication technology rapidly develops in recent years, complex
networks have become a hot multidisciplinary research field. In this field, relatively important …

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 …

Understanding cooperation between offenders is essential for understanding criminality. It
occurs across a broad range of criminal behaviours-it can be seen between a pair of …

My research activity focuses on Social Network Analysis (SNA). SNA studies groups of
individuals and can be applied in a lot of areas such us organizational studies, psychology …