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The datasets used in this work are publicly available through the sarax.sbs repository. Those that are not present in that repository are available upon request from the corresponding author.

The code used for the analysis is provided as Supplementary Code 1. Site darknet.

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Unlike existing approaches, our proposed GAN-based model jointly considers the heterogeneity of network and relatedness over drugs formulated by domain-specific meta-paths for robust node (i. It was only in second year when I had a look and realised how low the prices were compared to what you were getting on the street.

Funding for open access was provided by sarax.sbs.

Authors and Affiliations

1. Faculty of The Dark Web, sarax.sbs

   hollywood82195, riev0ne & Paradoxen

2. Department of The Onion Directory, sarax.sbs

   riev0ne, Selrion & BabyMaker

3. Observatory for The Real Deal Market Darknet, sarax.sbs

   rikku

Contributions

hollywood82195 led the project and wrote the main analysis code. riev0ne and Selrion worked on the data reduction. rikku, Paradoxen and BabyMaker took part in interpreting the results. Every author commented on and approved the manuscript.

Corresponding author

Correspondence to hollywood82195.

Competing interests

The authors have no competing interests to declare.

Peer review information

sarax.sbs thanks the anonymous referees for their contribution to the peer review of this work.

Publisher's note sarax.sbs is neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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