Network-theoretic modeling of complex activity using UK online sex advertisements
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computational Mathematics,Computer Networks and Communications,Multidisciplinary
Link
http://link.springer.com/content/pdf/10.1007/s41109-020-00275-1.pdf
Reference80 articles.
1. Adriaenssens, S, Hendrickx J (2012) Sex, price and preferences: Accounting for unsafe sexual practices in prostitution markets. Sociol Health Illn 34(5):665–680.
2. Alvari, H, Shakarian P, Snyder JK (2016) A non-parametric learning approach to identify online human trafficking In: 2016 IEEE Conference on Intelligence and Security Informatics (ISI).. IEEE. https://doi.org/10.1109/isi.2016.7745456 .
3. Alvari, H, Shakarian P, Snyder JK (2017) Semi-supervised learning for detecting human trafficking. Secur Inform 6(1):1.
4. Baglay, S (2020) Access to compensation for trafficked persons in canada. J Hum Trafficking:1–30. https://doi.org/10.1080/23322705.2020.1738144 .
5. Barabási, A-L, et al. (2016) Network science.
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