The Structure of Trade-type and Governance-type Organized Crime Groups
A Network Study
Bibliographic Data
| ID | 8403247 |
|---|---|
| Authors | Niles Breuer (0009-0007-9388-5395, University of Oxford, corresponding author), Federico Varese (0000-0003-4258-4473, University of Oxford) |
| Year | 2023 |
| Volume | 63 |
| Issue | 4 |
| Pages | 867-888 |
| Publication date | 2023-06-11 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | The British Journal of Criminology (JOURNAL) |
| Journal identifiers | ISSN: 0007-0955 • E-ISSN: 1464-3529 |
| Publisher | Oxford University Press (PUBLISHER • GB) |
| DOI | 10.1093/bjc/azac065 |
| OpenAlex | W4291016739 |
| Language | EN |
| Citations received | 22 |
| References cited | 36 |
The paper provides a theoretical framework for categorizing organized crime groups based on what they do – whether they produce, trade or govern – as well as their aims. This paper then tests whether the internal structure of a heroin distribution organization in New York City, a Sicilian mafia group and the Provisional Irish Republican Army differ. Applying Exponential Random Graph Models (ERGMs) methods to network data, we find the organizational structure of trade-type organized crime differs markedly from governance-type, as well as between financially-motivated and politically-motivated groups. Trade-type organized crime and financially-motivated groups display a high level of centralization, an even distribution of clustering values, short paths and low homophily. Governance-type organized crime and politically-motivated groups display the opposite features. We conclude that the core activity and aim of the group are crucial in understanding the organizational structure
Core (optical fiber) · Corporate governance · Criminology · Distribution (mathematics) · Economics · Exponential random graph models · Graph · Homophily · Irish · Management · Organised crime · Organizational structure · Political science · Random graph · Sicilian · Social science · Sociology · Computer Science · Crime Patterns and Interventions · Crime, Illicit Activities, and Governance · HIV, Drug Use, Sexual Risk · Law · Mathematics · Theoretical Computer Science
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| Unique citing works | 22 |
|---|---|
| Citations per year | 11 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 22 |