ArticleScientific reports2021
Mapping the NFT revolution: market trends, trade networks, and visual features.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
33 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Tourism marketing in the metaverse: A systematic literature review, building blocks, and future research directions.PloS one · 2024Pooled it
- Psychological mechanisms in video game monetization: A typology of contemporary strategies beyond loot boxes.Journal of behavioral addictions · 2026Review
- Unique Digital Images as Incentives in Clinical Trials: A Digital Shift Toward Meaningful Participation.Journal of medical Internet research · 2026Article
- Human mobility in the metaverse mirrors patterns in the physical world.Scientific reports · 2026Article
- Determinants of crypto art adoption among Chinese consumers: an extended UTAUT2 approach.Frontiers in psychology · 2026Article
- Audience attitudes and aesthetic perception of digitally empowered contemporary lacquer painting: a survey-based technology-imagery-perception model.Frontiers in psychology · 2026Article
- Digital assets: risks, regulations, mitigation.Financial innovation · 2026Article
- Quantifying community evolution in temporal networks.Scientific reports · 2025Article
- Price prediction of PFP NFT based on the sentiments of users in posts on social media.Scientific reports · 2025Article
- Recent advances and future prospects for blockchain in biomedicine.Cell reports methods · 2025Review
- Mapping network structures and dynamics of decentralised cryptocurrencies: The evolution of Bitcoin (2009-2023).PloS one · 2025Article
- Toward a new AI winter? How diffusion of technological innovation on networks leads to chaotic boom-bust cycles.Frontiers in artificial intelligence · 2025Article
- Artificial intelligence for algorithmic trading digital assets: evidence from the Counter-Strike 2 skin market.Frontiers in artificial intelligence · 2025Article
- Wallets' explorations across non-fungible token collections.Scientific reports · 2024Article
- Navigating the Metaverse: A New Virtual Tool with Promising Real Benefits for Breast Cancer Patients.Journal of clinical medicine · 2024Review
- Efficient Use of Biological Data in the Web 3.0 Era by Applying Nonfungible Token Technology.Journal of medical Internet research · 2024Article
- Periodicity, Elliott waves, and fractals in the NFT market.Scientific reports · 2024Article
- Unraveling the NFT economy: A comprehensive collection of Non-Fungible Token transactions and metadata.Data in brief · 2023Article
- A Holistic Review of Cyber-Physical-Social Systems: New Directions and Opportunities.Sensors (Basel, Switzerland) · 2023Article
- Non-fungible tokens in ophthalmology: what is it good for?Eye (London, England) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Non Fungible Tokens (NFTs) are digital assets that represent objects like art, collectible, and in-game items. They are traded online, often with cryptocurrency, and are generally encoded within smart contracts on a blockchain. Public attention towards NFTs has exploded in 2021, when their market has experienced record sales, but little is known about the overall structure and evolution of its market. Here, we analyse data concerning 6.1 million trades of 4.7 million NFTs between June 23, 2017 and April 27, 2021, obtained primarily from Ethereum and WAX blockchains. First, we characterize statistical properties of the market. Second, we build the network of interactions, show that traders typically specialize on NFTs associated with similar objects and form tight clusters with other traders that exchange the same kind of objects. Third, we cluster objects associated to NFTs according to their visual features and show that collections contain visually homogeneous objects. Finally, we investigate the predictability of NFT sales using simple machine learning algorithms and find that sale history and, secondarily, visual features are good predictors for price. We anticipate that these findings will stimulate further research on NFT production, adoption, and trading in different contexts.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.