The Basel Institute's 35th Working Paper presents the findings of a novel application of social network analysis (SNA) to study a criminal network surrounding an East Africa-based wildlife trafficker.
This report presents the findings of a novel application of social network analysis (SNA) to study a criminal network surrounding an East Africa-based wildlife trafficker. This technique focuses on understanding structural, functional and sociometric characteristics of networks by mapping social interactions between individuals and groups.
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Mind the gap: building a bridge between research and practice to better fight illegal wildlife trade
When you have a difficult problem to solve, it often helps to look at it from a different angle. And it always helps to collaborate with experts who have different perspectives and skillsets.
Jacopo Costa, Senior Research Fellow, offers this quick guide to social network analysis (SNA). He explains how it can help us to better understand and tackle the transnational organised crime and dark networks that sustain corruption, money laundering and illicit trafficking.
A new report sets out preliminary findings from the social network analysis of wildlife trafficking networks in East Africa.
It first explores the structure and characteristics of social networks engaged in wildlife trafficking, suggesting that they operate as a form of transnational organised crime and remarkably like a business enterprise. In terms of supply chains, both bottom-up and top-down mechanisms are evident.
This report provides a first iteration of preliminary insights from the social network analysis of transnational wildlife trafficking networks operating along the East Africa – Southeast Asia trading chain.