Specifically, to be classified as a multiseller, a user must be classified as a seller in at least two markets simultaneously. The multihomers play a crucial role in the ecosystem because they act as edges between markets. While there may occasionally be multihomers who are active in several markets simultaneously (see Supplementary Information Section S3), multihomers predominantly operate in at most two markets throughout the period of observation. Hence we do not distinguish multisellers by the number of markets in which they operate. The raw dataset consists in transactions between Bitcoin addresses, which is initially preprocessed by Chainalysis Inc. (see Section S2).
- Therefore, we are likely better served by relying on the link representation of familiarity directly, i.e., using the undirected and unweighted variant.
- Notably, this effect is stronger for future success, further demonstrating its potential as an early warning signal.
- Darknet market lists provide updated onion links, ensuring reliable access despite domain rotations.
- We discard single Bitcoin transactions below $0.01 or above $100,000, which are unlikely to show real purchases and minimise false positives.
Discover Content
Law enforcement aims to disrupt criminal activity conducted through these markets by targeting key players vital to the market’s existence and success. We particularly focus on detecting successful vendors responsible for the majority of illegal trade. Our methodology aims to uncover whether the task of key player identification should center around plainly measuring user and forum activity, or that it requires leveraging specific patterns of user communication. We focus on a large-scale dataset from the Evolution cryptomarket, which we model as an evolving communication network. Results indicate that user and forum activity, measured through topic engagement, is best able to identify successful vendors.
How Darknet Markets And Fraud Shops Fought For Users In The Wake Of Hydra’s Collapse

Third, at any given moment we classify entities as either buyers or sellers. For example, in some cases, a seller in a given market may behave as a buyer in a second market or in the U2U network. This multi-role classification, to be implemented in future work, can help gain a more nuanced understanding of the ecosystem and the structure of the dark web supply chains. Decentralized networks have become the backbone of modern darknet markets, offering unparalleled anonymity for buyers and sellers. Unlike traditional platforms, these systems distribute data across multiple nodes, eliminating single points of failure and reducing exposure to surveillance.
Detection Of The U2U Network
2a, where the overall ecosystem volume quickly recovers after market closures. This is an outcome of the ecosystem’s resilience, largely supported by the migration of users15. Correspondingly, the multihoming activity is a mechanism that contributes to the ecosystem’s resilience. Because they are already active in more than one market, the migration cost for the multihomers is usually smaller compared to that for non-multihomer users, especially for sellers, that need to rebuilt their reputation23. To study the performance of sellers, we analyse the quarterly median income, i.e., the quarterly median of the money received by each seller, for each category and multisellers, as shown in Fig. We find that multisellers have the largest median income throughout the period of observation—except in the last quarter of 2017 and 2018, when they have the second largest median income.
Third, we note that, by virtue of not having access to hidden and missing data, this study focused only on the visible public communication on this cryptomarket. In Boekhout et al.27 we estimated that roughly 8% of posts were on hidden parts of the forum or were otherwise missing from the scraped data. Additionally, any off-market private communication is not included in the analysis. These missing links may impact the extent to which key players can be identified through user-to-user communication networks.
If the pair of users interact with multiple DWMs these U2U transactions are included in all related DWMs and counted multiple times. Therefore, the simple sum of all U2U transactions of each DWM is more than the sum of all unique U2U transactions. We count a total of 11 million transactions around all DWMs, that goes down to 9.9 million when multiple counting is avoided. Similarly, the simple sum of the single trading volumes surrounding all DWMs amounts to $33 billion, while the overall trading volume in all unique U2U pairs is $30 billion. Among the 40 large DWMs under consideration, 17 participate in at least one transaction in either 2020 or 2021, while the remaining 23 closed before 2020. Notably, our dataset includes Silk Road (the first modern DWM)1, Alphabay (once the leading DWM)44, and Hydra (currently the largest DWM in Russia)12.
Early Warning Signals For Predicting Cryptomarket Vendor Success Using Dark Net Forum Networks

Finally, our coverage of DWMs, albeit extensive, may lack information on other trading forums where users could have met. These distributions are explored for each of the 40 DWMs under consideration in Figure S5 and S6, respectively. 2c which shows that since 2011 U2U transactions have consistently involved greater monthly volume than the volume sent to all DWMs. This underlines the economic importance of U2U transactions in the Bitcoin ecosystem relative to DWMs.
The work reports usage rates in EU countries slightly below those seen in the USA (20% lifetime usage vs between 7 and 13% in EU). Evolution was active from January 2014 until March 2015, when it closed due to an exit scam. It formed a combination of a carding forum, where card information (e.g., credit/debit/ID/etc.) is traded, and an underground drug market25. Darknet markets — also known as cryptomarkets — provide a largely anonymous platform for trading in a range of illicit goods and services. Accessing the dark web can only be done using specific browsers, such as TOR Browser.

The Dark Web And The Future Of Illicit Drug Markets

It is moreover one of the few cryptomarkets that recorded sales information. However, many cryptomarkets do not record sales information and at best provide a label to vendors independent of their success. Furthermore, it is nearly impossible to identify those vendors whose success is yet to come. Yet, if law enforcement wishes to disrupt future sales, it is exactly these future successful vendors that they would need to identify in order to dissuade them from continued participation in the cryptomarket. Therefore, in this paper we focus on identifying key players in the form of both current and future successful vendors.
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We classify all entities either as sellers or buyers as a function of time. The result is a time series of lists of sellers and buyers for each period and for each market and the U2U network. The classification is performed in five steps (see Fig. 1), as detailed next. Why are these markets still seen as enticing places to sell drugs, despite the risks? To find out, our recent study surveyed 13 darknet drug vendors, via online encrypted interviews. These markets host hundreds, or in some cases thousands, of people who sell drugs, commonly referred to as “vendors”.

Better Drug Trade With New Cryptomarkets
The percentages of overall sales recorded in the dataset are presented for the top three categories and for the most common product within those categories only. Overall market share and within country proportion and change, September 2013 to July 2016. Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Perico Market is a newer entrant to the darknet market scene, notable for focusing on strong privacy practices, Monero-only payments, and clean UI.
However, trading behaviour in DWM closely resembles what is observed on regulated online platforms despite their significant differences in operational and legal nature14. Nevertheless, due to their unregulated nature, DWMs exhibit behaviours not observed in regulated marketplaces. They offer anonymity to their users by using and developing specialized tools. DWMs are accessed through darknet browsers supporting the onion routing protocol (e.g., Tor), which provides anonymous communication connections35.
Data And Methods
We represent the network of transactions by temporal networks where nodes are entities (markets and users), and directed edges represent a transaction pointing from the source to the destination entity and endowed with the time and value of the transaction. Each marketplace is a star-graph where the central node is the marketplace, and the leaf nodes, i.e., the first-neighbors, are the marketplace users. Therefore, all transactions involving the market have the market either as a source or as a destination node.
Table 1 shows the average monthly overlap of each network measure with each individual activity indicator and the union of detected vendors by all activity indicators. We see that PageRank and betweenness centrality detect the greatest share of vendors also found by the activity indicators, detecting on average approximately 80% of all current vendors and 75% of all future vendors found. However, respectively nearly 99% and 97% of all vendors detected by PageRank are also found by the activity indicators. On the contrary, the activity indicators find respectively only 94% and 90% of the vendors included by betweenness centrality. Thus, betweenness centrality is able to detect the largest share of successful vendors not included by any of the activity indicators. Therefore, reducing the set of users for law enforcement to investigate using betweenness centrality may provide a fresh perspective.
Drug delivery has displaced street- or house-based exchanges in some circumstances; drug markets have become segmented by class and race; and the opportunities for combining drug dealing with other vice-exploitation crimes has declined 44. Cryptomarkets extend some of these developments, seeking to emphasise conflict resolution, cooperation and professionalism and punish predation 45, 46, making their ethos more attractive to buyers and dealers 47. That may serve to reduce some of the collateral harms of the illicit drug market 48 while at the same time concentrating risk and systemic violence among an already marginalised segment of the drug-using population that has little access to drug-delivery methods. While the cryptomarkets do put gentrification to the fore, they also shift power in the marketplace and create new opportunities for vendors to develop exploitative or coercive strategies and techniques 49.