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Posts tagged social network analysis
Money laundering as a service: Investigating business‑like behavior in money laundering networks in the Netherlands

By Jo‑Anne Kramer, Arjan A. J. Blokland·, Edward R. Kleemans, Melvin R. J. Soudijn

In order to launder large amounts of money, (drug) criminals can seek help from financial facilitators. According to the FATF, these facilitators are operating increasingly business-like and even participate in professional money laundering networks. This study examines the extent to which financial facilitators in the Netherlands exhibit business-like characteristics and the extent to which they organize themselves in money laundering networks. We further examine the relationship between business-like behavior and individual money launderers’ position in the social network. Using police intelligence data, we were able to analyze the contacts of 198 financial facilitators who were active in the Netherlands in the period 2016–2020, all having worked for drug criminals. Based on social network analysis, this research shows that financial facilitators in the Netherlands can be linked in extensive money laundering networks. Based on the facilitators’ area of expertise, roughly two main types of professional money laundering networks can be discerned. Some subnetworks operate in the real estate sector, while others primarily engage in underground banking. Furthermore, the application of regression models to predict business-like behavior using individual network measures shows that facilitators with more central positions in the net work and those who collaborate with financial facilitators from varying expertise groups tend to behave more business-like than other financial facilitators.

Trends in Organized Crime (2024) 27:314–341

Co-offending networks among members of outlaw motorcycle gangs across types of crime

By David Bright, Giovanni Sadewo, Timothy I. C. Cubitt, Christopher Dowling, Anthony Morgan

Outlaw motorcycle gangs (OMCGs) have become synonymous with organised crime through engagement in criminal activities including illicit drug production and distribution, firearms trafficking, and serious violent crime. These crimes contribute significant social and economic harms in countries that feature a presence from these groups. The current paper uses network analytics to analyse the extent of co-offending within and across established clubs in Australia, including the relative involvement of senior, or office-bearing, members. The majority of affiliates in this sample co-offended with another OMCG affiliate within the sample period, with office bearers, members, nominees and associates represented proportionally among co-offending networks to in the sample at large. However, within these clubs, criminal activities were conducted in small cliques or components of affiliates. This research supports the role of OMCGs as important facilitators of crime, and the role of co-offending in the criminal offending of affiliates. The findings hold important implications for understanding how offending is organised among OMCGs, differences between groups, differing levels of engagement from the club hierarchy

Trends in Organized Crime (2024) 27:263–285