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Illicit Network Dynamics: The Formation and Evolution of a Drug Trafficking Network
Flinders Univ S Australia, Australia.
Linköpings universitet, Institutionen för ekonomisk och industriell utveckling, Institutet för analytisk sociologi, IAS. Linköpings universitet, Filosofiska fakulteten. Univ Manchester, England; Univ Manchester, England; Univ Melbourne, Australia.
Calif State Univ Long Beach, CA 90840 USA.
2019 (Engelska)Ingår i: Journal of quantitative criminology, ISSN 0748-4518, E-ISSN 1573-7799, Vol. 35, nr 2, s. 237-258Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

ObjectivesThe project aims to: (1) investigate structural and functional changes in an Australian drug trafficking network across time to determine ways in which such networks form and evolve. To meet this aim, the project will answer the following research questions: (1) What social structural changes occur in drug trafficking networks across time? (2) How are these structural changes related to roles/tasks performed by network members? (3) What social processes can account for change over time in drug trafficking networks?MethodThe relational data on the network was divided into four two years periods. Actors were allocated to specific roles. We applied a stochastic actor-oriented model to explain the dynamics of the network across time. Using RSiena, we estimated a number of models with the key objectives of investigating: (1) the effect of roles only; (2) the endogenous effect of degree-based popularity (Matthew effect); (3) the endogenous effect of balancing connectivity with exposure (preference for indirect rather than direct connections); (4) how degree-based popularity is moderated by tendencies towards reach and exposure.ResultsPreferential attachment is completely moderated by a preference for having indirect ties, meaning that centralization is a result of actors preferring indirect connections to many others and not because of a preference for connecting to popular actors. Locally, actors seek cohesive relationships through triadic closure.ConclusionsActors do not seek to create an efficient network that is highly centralized at the expense of security. Rather, actors strive to optimize security through triadic closure, building trust, and protecting themselves and actors in close proximity through the use of brokers that offer access to the rest of the network.

Ort, förlag, år, upplaga, sidor
SPRINGER/PLENUM PUBLISHERS , 2019. Vol. 35, nr 2, s. 237-258
Nyckelord [en]
Drug trafficking; Social network analysis; Dynamic; Stochastic actor-oriented models; Longitudinalsocial network analysis
Nationell ämneskategori
Juridik och samhälle
Identifikatorer
URN: urn:nbn:se:liu:diva-158311DOI: 10.1007/s10940-018-9379-8ISI: 000468597300002OAI: oai:DiVA.org:liu-158311DiVA, id: diva2:1333944
Anmärkning

Funding Agencies|Leverhulme Trust [RPG-2013-140]; BA/Leverhulme SRG

Tillgänglig från: 2019-07-02 Skapad: 2019-07-02 Senast uppdaterad: 2019-07-02

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Koskinen, Johan
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Institutet för analytisk sociologi, IASFilosofiska fakulteten
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Journal of quantitative criminology
Juridik och samhälle

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