Introduction
EX-Graph is a rich dataset containing Ethereum transaction data and X data. With a focus on bridging the gap between anonymous Ethereum activities and X information, it’s specifically designed to facilitate various tasks including Ethereum link prediction, wash-trading addresses detection, and matching link prediction between Ethereum addresses and X accounts. By integrating these two different dimensions, EX-Graph provides an on-chain and off-chain resource for researchers and analysts to explore the complex dynamics of Ethereum.
Key Features
The EX-Graph dataset offers several key features that make it a valuable resource for analyzing the Ethereum network and its connection with X:
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Comprehensive Data: The dataset includes a X graph capturing the social network of users associated with Ethereum transactions and an Ethereum graph containing detailed transaction records from the blockchain. This comprehensive data enables in-depth analysis of transaction patterns, network dynamics, and the impact of social media on cryptocurrency markets.
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X Integration: The dataset incorporates X features associated with Ethereum transactions, allowing for the exploration of sentiment dynamics, influence propagation, and the correlation between social media activities and specific transactions.
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Wash-Trading Addresses Detection: A graph representation is provided to detect wash-trading addresses within the Ethereum network. This feature helps identify suspicious addresses engaged in market manipulation activities, enhancing the integrity of the Ethereum network.
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Code and Experiments: The dataset includes code and experiments for Ethereum link prediction, wash-trading address detection, and matching link prediction. Researchers can utilize this code to conduct innovative research and drive advancements in blockchain and social media analysis.
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Anonymized X Matching: An anonymized X accounts file matched with Ethereum addresses is included which facilitates the study of off-chain user interactions within the Ethereum community.
With its comprehensive data, X integration, wash-trading address detection, code and experiments, and anonymized X matching, the EX-Graph dataset provides a powerful toolkit for studying the Ethereum network and its relationship with X. Researchers can gain valuable insights into transaction patterns, sentiment dynamics, influence propagation, and market manipulation detection, driving advancements in the field of blockchain analysis.
Get Started
Discover the power of EX-Graph by accessing our dataset on GitHub and start unlocking hidden insights. Join a vibrant community of researchers, developers, and enthusiasts who are shaping the future of blockchain and social media analysis. Dive into groundbreaking research, drive innovation, and make a lasting impact with EX-Graph.