Journal article
Identifying key players in dark web marketplaces through Bitcoin transaction networks
- Abstract:
- Dark web marketplaces have been a significant outlet for illicit trade, serving millions of users worldwide for over a decade. However, not all users are the same. This paper aims to identify the key players in Bitcoin transaction networks linked to dark markets and assess their role by analysing a dataset of 40 million Bitcoin transactions involving the 31 major markets in the period 2011–2021. First, we propose an algorithm that categorizes users either as buyers or sellers, and show that a large fraction of the trading volume is concentrated in a small group of elite market participants. We find that the dominance of markets is reflected in trading properties of buyers and sellers. Then, we investigate both market star-graphs and user-to-user networks, and highlight the importance of a new class of users, namely ‘multihomers’, who operate on multiple marketplaces concurrently. Specifically, we show how the networks of multihomers and seller-to-seller interactions can shed light on the resilience of the dark market ecosystem against external shocks. Our findings suggest that understanding the behavior of key players in dark web marketplaces is critical to effectively disrupting illegal activities.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 6.8MB, Terms of use)
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- Publisher copy:
- 10.1038/s41598-023-50409-5
Authors
- Publisher:
- Springer Nature
- Journal:
- Scientific Reports More from this journal
- Volume:
- 14
- Issue:
- 1
- Article number:
- 2385
- Place of publication:
- England
- Publication date:
- 2024-01-29
- Acceptance date:
- 2023-12-19
- DOI:
- EISSN:
-
2045-2322
- Pmid:
-
38286798
- Language:
-
English
- Pubs id:
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1620468
- Local pid:
-
pubs:1620468
- Deposit date:
-
2024-03-12
Terms of use
- Copyright holder:
- dos Reis et al
- Copyright date:
- 2024
- Rights statement:
- © 2024, The Author(s) This is an open access article distributed under the terms of the Creative Commons CC BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
- Licence:
- CC Attribution (CC BY)
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