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Criminal network security: An agent‐based approach to evaluating network resilience*

https://doi.org/10.1111/1745-9125.12203

Duxbury, Scott W.; Haynie, Dana L. (February 2019, Criminology)

Abstract Criminal networks are frequently at risk of disruption through arrest and interorganizational violence. Difficulties in designing empirical studies of criminal network recovery, however, have problematized research into network responses to disruption. In this study, we evaluate criminal network resilience by examining network recovery from disruption in an array of different criminal networks and across different disruption strategies. We use an agent‐based model to evaluate how criminal networks recover from disruption. Our results reveal the vulnerabilities and time to recovery of numerous criminal organizations, and through them, we identify which disruption strategies are most effective at damaging various criminal networks.
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The Network Structure of Opioid Distribution on a Darknet Cryptomarket

https://doi.org/10.1007/s10940-017-9359-4

Duxbury, Scott W.; Haynie, Dana L. (December 2018, Journal of Quantitative Criminology)

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Building them up, breaking them down: Topology, vendor selection patterns, and a digital drug market’s robustness to disruption

https://doi.org/10.1016/j.socnet.2017.09.002

Duxbury, Scott W.; Haynie, Dana L. (January 2018, Social Networks)

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