Identifying key players in dark web marketplaces through Bitcoin transaction networks

Author:

dos Reis Elohim Fonseca,Teytelboym Alexander,ElBahrawy Abeer,De Loizaga Ignacio,Baronchelli Andrea

Abstract

AbstractDark 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.

Funder

PayPal

Publisher

Springer Science and Business Media LLC

Reference47 articles.

1. European Monitoring Centre for Drugs, Drug Addiction and Europol. Drugs and the darknet: Perspectives for enforcement, research and policy, emcdda-europol joint publications. Technical report, Publications Office of the European Union, Luxembourg (2017).

2. Gwern.net. https://gwern.net/dnm-survival. Accessed 23 Mar 2023 (2023).

3. Christin, N. & Thomas, J. Analysis of the supply of drugs and new psychoactive substances by europe-based vendors via darknet markets in 2017–18. Technical report, European Monitoring Centre for Drugs and Drug Addiction (2019).

4. European Monitoring Centre for Drugs and Drug Addiction. EU Drug Markets Report. Technical report, Publications Office of the European Union, Luxembourg (2019).

5. European Monitoring Centre for Drugs and Drug Addiction. Covid-19 and drugs: Drug supply via darknet markets. Technical report, European Monitoring Centre for Drugs and Drug Addiction, Lisbon (2020).

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