Multilevel determinants of collaboration between organised criminal groups

Coutinho, James A.; Diviák, Tomáš; Bright, David; Koskinen, Johan

doi:10.1016/j.socnet.2020.04.002

Cited by 19 publications

(6 citation statements)

References 95 publications

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“…Network research has been traditionally dominated by the drivers and consequences of networks either at the individual or system level, while too often neglecting the link between these two levels. Fortunately, a multilevel perspective is now gaining more traction in network approaches (see, e.g., Bodin et al, 2019 ; Coutinho et al, 2020 ; Lazega and Snijders, 2016 ).…”

Section: Multilevel Goals and Outcomes Of Network Interventionsmentioning

confidence: 99%

“…The use of social network research methodologies to study crime has expanded over the last twenty years to include the study of co-offending (e.g., Frank and Carrington, 2007 ; Grund and Morselli, 2017 ; Sarnecki, 1999 ), terrorism (e.g., Bright et al, 2020 ; Krebs, 2002 ), and organized crime (e.g., Coutinho et al, 2020 ; Morselli, 2009a ).…”

Section: Multilevel Network Interventions In Non-covid Applicationsmentioning

confidence: 99%

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Multilevel network interventions: Goals, actions, and outcomes

Robins

Lusher²,

Broccatelli³

et al. 2023

Social Networks

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Section: Multilevel Goals and Outcomes Of Network Interventionsmentioning

confidence: 99%

Section: Multilevel Network Interventions In Non-covid Applicationsmentioning

confidence: 99%

Multilevel network interventions: Goals, actions, and outcomes

Robins

Lusher²,

Broccatelli³

et al. 2023

Social Networks

Self Cite

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“…Rostami and Mondani (2019) examined co-offending networks of three Canadian OMCGs and found that while some club members tended to co-offend exclusively with members of the same local chapter, other club members did collaborate with chapters across the country. Finally, research has examined cooperation between different organised criminal groups in Canada, including OMCGs (Coutinho et al 2020). This research used a sophisticated SNA technique known as exponential random graph modelling (ERGM) and found that, compared with other organised criminal groups, OMCGs were more likely to collaborate across groups when illicit markets overlapped in the same locations, suggesting enhanced capacity for criminal coordination within and across OMCGs.…”

Section: Using Social Network Analysis To Understand Criminal Groupsmentioning

confidence: 99%

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

et al. 2022

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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.

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“…For example, Bjorklund and Daly (2021) used ERGM to explore the development of social ties in teaching education programs. In another research project, Coutinho et al (2020) studied the collaboration across criminal groups and used ERGM to identify the main determinants of collaboration. Gronow et al (2020) However, the studies that have been conducted to analyze the collaboration among organizations in the education sector have been limited.…”

Section: Collaboration In Networked Universitiesmentioning

confidence: 99%

“…For example, Bjorklund and Daly (2021) used ERGM to explore the development of social ties in teaching education programs. In another research project, Coutinho et al (2020) studied the collaboration across criminal groups and used ERGM to identify the main determinants of collaboration. Gronow et al (2020) applied ERGM to analyze the determinant factors (beliefs, reputational power and the role of public authorities) on the collaboration structure ties of climate change governance networks in Finland and Sweden.…”

Section: Introductionmentioning

confidence: 99%

Network analysis of collaboration in networked universities

Meisel¹,

Montes

Ramirez

et al. 2021

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PurposeIn Latin America and the Caribbean, the access of students to higher education has presented an extraordinary growth over the past fifteen years. This rapid growth has presented a challenge for increasing the system resources and capabilities while maintaining its quality. As a result, the networked universities (NUs) organized themselves as a collaborative network, and they have become an interesting model for facing the complexity driven by globalization, rapidly changing technology, dynamic growth of knowledge and highly specialized areas of expertise. In this article, we studied the NU named Red Universitaria Mutis (Red Mutis) with the aim of characterizing the collaboration and integration structure of the network.Design/methodology/approachNetwork analytic methods (visual analysis, positional analysis and a stochastic network method) were used to characterize the organizational structure and robustness of the network, and to identify what variables or structural tendencies are related to the likelihood that specific areas of a university would collaborate.FindingsRed Mutis is a good example of regional NUs that could take advantage of the strengths, partnerships, information and knowledge of the regional and international universities that form the network. Analyses showed that Red Mutis has a differentiated structure consisting of academic and non-academic university areas with a vertical coordination (by steering and management) of the different university areas.Originality/valueThe methodology could be used as a framework to analyze and strengthen other strategic alliances between universities and as a model for the development of other NU in local and global contexts.

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Multilevel determinants of collaboration between organised criminal groups

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Cited by 19 publications

References 95 publications

Multilevel network interventions: Goals, actions, and outcomes

Multilevel network interventions: Goals, actions, and outcomes

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

Network analysis of collaboration in networked universities

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