Graph Analysis of the Ethereum Blockchain Data: A Survey of Datasets, Methods, and Future Work A summary of the IEEE Blockchain 2022 research paper by Arijit Khan. Objective: Ethereum [1], currently the most actively-used and the second-largest blockchain platform [2], consists of a heterogeneous ecosystem, cohabited by human users, smart contracts (autonomous agents), ether (native cryptocurrency), tokens (digital assets), dApps (decentralized applications), and DeFi (decentralized finance). These key actors in the Ethereum interact with each other via transactions and contract calls. Given the highly connected structure, graph-based modeling is an optimal tool to analyze the data stored in Ethereum blockchain. Data stored in a public blockchain such as in Ethereum can be considered as big data -- Ethereum archive nodes that store a complete snapshot of the Ethereum blockchain, including all the transaction records, take up to 4TB of space [3], thus data analytic methods can