Networks of Ethereum Non-Fungible Tokens: A graph-based analysis of the ERC-721 ecosystem
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Abstract (arXiv)
Non-fungible tokens (NFTs) as a decentralized proof of ownership represent one of the main reasons why Ethereum is a disruptive technology. This paper presents the first systematic study of the interactions occurring in a number of NFT ecosystems. We illustrate how to retrieve transaction data available on the blockchain and structure it as a graph-based model. Thanks to this methodology, we are able to study for the first time the topological structure of NFT networks and show that their properties (degree distribution and others) are similar to those of interaction graphs in social networks. Time-dependent analysis metrics, useful to characterize market influencers and interactions between different wallets, are also introduced. Based on those, we identify across a number of NFT networks the widespread presence of both investors accumulating NFTs and individuals who make large profits.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Oct 2021.
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Citing papers per year: 2023: 3; 2024: 1.
4 papers.
- 2023Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFTcited by 10
- 2023Data Depth and Core-based Trend Detection on Blockchain Transaction Networkscited by 1
- 2023What Determines the Price of NFTs?cited by 0
- 2024Fractal Signatures: Securing AI-Generated Pollock-Style Art via Intrinsic Watermarking and Blockchaincited by 0
- 2024Fractal Signatures: Securing AI-Generated Pollock-Style Art via Intrinsic Watermarking and Blockchain27 Oct 2024
- 2023Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT18 Oct 2023
- 2023What Determines the Price of NFTs?3 Oct 2023
- 2023Data Depth and Core-based Trend Detection on Blockchain Transaction Networks24 Mar 2023