Women trafficking networks: Structure and stages of women trafficking in five Dutch small-scale networks

In this study, we investigated the relation between the different stages of women trafficking (i.e. recruitment, entrance, accommodation, labor, and finance) and the structure of five criminal networks involved in women trafficking in the Netherlands (Ns ranging from 6 to 15). On the one hand, it could be argued that for efficiency and avoidance of being detected by law enforcement agencies, the network structure might align with the different stages, resulting in a cell-structured network with collaboration between actors within rather than across stages. On the other hand, criminal actors mi... Mehr ...

Verfasser: Diviak, Tomas
Dijkstra, Jan Kornelis
van der Wijk, Fenna
Oosting, Indra
Wolters, Gerard
Dokumenttyp: Artikel
Erscheinungsdatum: 2021
Reihe/Periodikum: Diviak , T , Dijkstra , J K , van der Wijk , F , Oosting , I & Wolters , G 2021 , ' Women trafficking networks: Structure and stages of women trafficking in five Dutch small-scale networks ' , European Journal of Criminology . https://doi.org/10.1177/14773708211053135
Schlagwörter: criminal networks / exponential random graph model / sex trafficking / social network analysis / women trafficking
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-29437723
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://research.manchester.ac.uk/en/publications/2e1717f0-75cb-40b0-816f-49533cece69a

In this study, we investigated the relation between the different stages of women trafficking (i.e. recruitment, entrance, accommodation, labor, and finance) and the structure of five criminal networks involved in women trafficking in the Netherlands (Ns ranging from 6 to 15). On the one hand, it could be argued that for efficiency and avoidance of being detected by law enforcement agencies, the network structure might align with the different stages, resulting in a cell-structured network with collaboration between actors within rather than across stages. On the other hand, criminal actors might prefer to collaborate and rely on a few others, whom they trust in order to circumvent the lack of formal opportunities to enforce collaboration and agreements, resulting in a core-periphery network with actors also collaborating across stages. Results indicate that three of the five networks were characterized by a core-periphery structure, whereas the two other networks exhibit a mixture of both a cell-structured and core-periphery network. Furthermore, using an Exponential Random Graph Model (ERGM), we found that actors were likely to form ties with each other in the stages of recruitment, accommodation, and exploitation, but not in the stages of transport and finance.