On the Ethereum Blockchain Structure: a Complex Networks Theory Perspective
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Abstract (arXiv)
In this paper, we analyze the Ethereum blockchain using the complex networks modeling framework. Accounts acting on the blockchain are represented as nodes, while the interactions among these accounts, recorded on the blockchain, are treated as links in the network. Using this representation, it is possible to derive interesting mathematical characteristics that improve the understanding of the actual interactions happening in the blockchain. Not only, by looking at the history of the blockchain, it is possible to verify if radical changes in the blockchain evolution happened.
Key facts. Cited by 4 papers in the map (data through 13 Oct 2026). First posted on arXiv 29 Aug 2019.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 2.
4 papers.
- 2023Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFTcited by 10
- 2021Identity Inference on Blockchain using Graph Neural Networkcited by 9
- 2022Detecting Anomalous Cryptocurrency Transactions: an AML/CFT Application of Machine Learning-based Forensicscited by 5
- 2023MindTheDApp: A Toolchain for Complex Network-Driven Structural Analysis of Ethereum-based Decentralised Applicationscited by 0
- 2023Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT18 Oct 2023
- 2023MindTheDApp: A Toolchain for Complex Network-Driven Structural Analysis of Ethereum-based Decentralised Applications3 Oct 2023
- 2022Detecting Anomalous Cryptocurrency Transactions: an AML/CFT Application of Machine Learning-based Forensics7 Jun 2022
- 2021Identity Inference on Blockchain using Graph Neural Network14 Apr 2021