Uncovering the resiliency of ties between individuals involved in criminal enterprise will contribute to our understanding of how illicit markets function. To examine activities along the entire drug market commodity chain, this study extracted information about individuals involved or associated with trafficking (1,998 people) from police intelligence reports generated from 2004 to 2006. Significant differences were found for centrality and cohesion across market niches. Results show that the highest fragmentation potential lies with individuals who are involved with smuggling, supply, and financing, particularly when these individuals are also involved in other niches. Variability in small-world and scale-free properties suggest that interdiction strategies must be tailored to niche characteristics.
Objectives: The 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? Method: The 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 (SAOM) 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. Illicit network dynamics 4 Results: Preferential 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. Conclusions: Actors 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.
This study assessed the early deployment of the Anaheim Police Department’s body-worn camera (BWC) program in 2015 by examining camera activations across officers, trends in activations over time, and how different police–community contacts predict BWC activations. These were assessed with correlational analyses among 40 BWC-equipped officers in the first 6 months of their use. Activation of the BWCs among officers varied widely, with 6-month average activations ranging from 0% to 72%. Average activation rates increased over time from 3% to 54%. Officers disproportionately activated their cameras for events related to crimes; for example, activation rates for other categories were significantly lower compared to violent crimes, with odds ratios ranging from 0.148 to 0.663. The article concludes with a discussion on how the failure to activate a BWC limits the potential benefits of the technology. While officers have considerable discretion on when to activate their BWCs, law enforcement agencies must not only train and deploy BWCs among their officers but also audit and supervise individual use to ensure successful BWC programs.
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