Uniswap Daily Transaction Indices by Network

Nir Chemaya, Lin William Cong, Emma Jorgensen, Dingyue Liu, Luyao Zhang
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Abstract

DeFi is transforming financial services by removing intermediaries and producing a wealth of open-source data. This transformation is propelled by Layer 2 (L2) solutions, aimed at boosting network efficiency and scalability beyond current Layer 1 (L1) capabilities. This study addresses the lack of detailed L2 impact analysis by examining over 50 million transactions from Uniswap. Our dataset, featuring transactions from L1 and L2 across networks like Ethereum and Polygon, provides daily indices revealing adoption, scalability, and decentralization within the DeFi space. These indices help to elucidate the complex relationship between DeFi and L2 technologies, advancing our understanding of the ecosystem. The dataset is enhanced by an open-source Python framework for computing decentralization indices, adaptable for various research needs. This positions the dataset as a vital resource for machine learning endeavors, particularly deep learning, contributing significantly to the development of Blockchain as Web3's infrastructure.
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Uniswap每日交易指数按网络
DeFi正在通过消除中介机构和生成大量开源数据来改变金融服务。这种转变是由第二层(L2)解决方案推动的,旨在提高网络效率和可扩展性,超越目前的第一层(L1)能力。本研究通过检查muniswap的5000多万笔交易,解决了缺乏详细的L2影响分析的问题。我们的数据集包括来自以太坊和Polygon等网络的L1和L2交易,提供了每日指数,揭示了DeFi空间内的采用、可扩展性和去中心化。这些指数有助于阐明DeFi和L2技术之间的复杂关系,促进我们对生态系统的理解。该数据集通过开源python框架增强,用于计算分散指数,可适应各种研究需求。这将数据集定位为机器学习的重要资源,特别是深度学习,为区块链作为Web3基础设施的发展做出了重大贡献。
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