While numerous public blockchain datasets are available, their utility is
constrained by a singular focus on blockchain data. This constraint limits the
incorporation of relevant social network data into blockchain analysis, thereby
diminishing the breadth and depth of insight that can be derived. To address
the above limitation, we introduce ETGraph, a novel dataset that authentically
links Ethereum and Twitter, marking the first and largest dataset of its kind.
ETGraph combines Ethereum transaction records (2 million nodes and 30 million
edges) and Twitter following data (1 million nodes and 3 million edges),
bonding 30,667 Ethereum addresses with verified Twitter accounts sourced from
OpenSea. Detailed statistical analysis on ETGraph highlights the structural
differences between Twitter-matched and non-Twitter-matched Ethereum addresses.
Extensive experiments, including Ethereum link prediction, wash-trading
Ethereum addresses detection, and Twitter-Ethereum matching link prediction,
emphasize the significant role of Twitter data in enhancing Ethereum analysis.
ETGraph is available at this https URL

ETGraph 是一个将 Ethereum 的交易记录和 Twitter 的关注数据进行链接的数据集，通过对其进行统计分析和一系列实验，发现 Twitter 数据在增强 Ethereum 分析方面起到了重要作用。