A Transdisciplinary Approach for Generating Synthetic but Realistic Domestic Sex Trafficking Networks
Daniel Kosmas, Christina Melander, Emily Singerhouse, Thomas C., Sharkey, Kayse Lee Maass, Kelle Barrick, Lauren Martin

TL;DR
This paper introduces a network generator for domestic sex trafficking that combines operational research and qualitative data to produce realistic, anonymized networks for policy analysis and disruption strategies.
Contribution
It presents a novel approach integrating OR concepts with qualitative research to generate realistic trafficking networks without compromising privacy.
Findings
Generated networks reflect real trafficking relationships.
Trafficker flow control impacts victim recruitment.
Disruption strategies influence trafficker behavior.
Abstract
One of the major challenges associated with applying operations research (OR) models to disrupting human trafficking networks is the limited amount of reliable data sources readily available for public use, since operations are intentionally hidden to prevent detection, and data from known operations are often incomplete. To help address this data gap, we propose a network generator for domestic sex trafficking networks by integrating OR concepts and qualitative research. Multiple sources regarding sex trafficking in the upper Midwest of the United States have been triangulated to ensure that networks produced by the generator are realistic, including law enforcement case file analysis, interviews with domain experts, and a survivor-centered advisory group with first-hand knowledge of sex trafficking. The output models the relationships between traffickers, so-called "bottoms", and…
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Taxonomy
TopicsSex work and related issues · Crime, Illicit Activities, and Governance · Cybercrime and Law Enforcement Studies
