Dissecting Ethereum Blockchain Analytics: What We Learn from Topology and Geometry of Ethereum Graph
Dissecting Ethereum Blockchain Analytics: What We Learn from Topology and Geometry of Ethereum Graph
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剖析以太坊区块链分析：我们从以太坊图的拓扑和几何学到什么
DOI：
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
Murat Kantarcioglu
中科院分区：
文献类型：
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作者：
Yitao Li;Umar Islambekov;C. Akcora;Ekaterina Smirnova;Y. Gel;Murat Kantarcioglu
区块链技术，尤其是基于区块链的加密货币，为我们提供了金融界从未有过的信息。与法定货币不同，加密货币和加密令牌的所有交易都永久记录在分布式分类账上，并公开可用。因此，这使我们能够构建交易图，不仅可以评估其组织结构，还可以收集交易图属性和密码价格动态之间的关系。本文的最终目的是帮助我们从以太事务网络的局部拓扑和几何结构中了解在密码令牌上可以学到的东西的地平线和局限性，其甚至是全局网络性质仍然鲜有人研究。通过将基于拓扑数据分析和函数数据深度的新工具引入区块链数据分析，我们展示了以太网络(用于创建新密码令牌的最流行的区块链之一)可以提供对密码令牌的价格敲击的关键洞察，否则传统数据源和传统分析方法在很大程度上无法访问这些密码令牌。
Blockchain technology and, in particular, blockchain-based cryptocurrencies offer us information that has never been seen before in the financial world. In contrast to fiat currencies, all transactions of crypto-currencies and crypto-tokens are permanently recorded on distributed ledgers and are publicly available. As a result, this allows us to construct a transaction graph and to assess not only its organization but to glean relationships between transaction graph properties and crypto price dynamics. The ultimate goal of this paper is to facilitate our understanding on horizons and limitations of what can be learned on crypto-tokens from local topology and geometry of the Ethereum transaction network whose even global network properties remain scarcely explored. By introducing novel tools based on topological data analysis and functional data depth into Blockchain Data Analytics, we show that Ethereum network (one of the most popular blockchains for creating new crypto-tokens) can provide critical insights on price strikes of crypto-tokens that are otherwise largely inaccessible with conventional data sources and traditional analytic methods.