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TokenVis:面向以太坊区块链ERC-20智能合约演变模式的可视分析方法OA北大核心CSTPCD

TokenVis:Visual Analytics for Evolutionary Patterns of Ethereum ERC-20 Smart Contract

中文摘要英文摘要

区块链技术近年来受到了广泛关注.区块链技术驱动的加密货币市场复杂且不稳定,容易受到政治、经济、社会等各方面因素的影响.现有的研究工作集中于原生加密货币,如比特币和以太坊币.然而,加密货币市场中存在大量基于ERC-20智能合约的代币.ERC-20代币占据大量市值,吸引了许多投资者的关注.本文提出了TokenVis可视分析系统,用于辅助用户分析不同ERC-20标准代币的演变模式并提供解释.TokenVis集成了一个不同时间粒度的可视分析框架,提出了针对时间序列的切分排序可视化以及基于时间约束的优化算法构建的新闻分布布局,建立了演变模式与新闻之间的关系进而解释了代币演变模式.本文还介绍了与领域专家合作开展的分析案例,包含不同类型代币的演变模式,验证了TokenVis可视分析系统的有效性与可用性.

Blockchain techniques have received extensive attention in recent years.The cryptocurrency market based on block-chain techniques is complex and unstable,vulnerable to political,economic and social factors.Existing studies fo-cus on native cryptocurrencies,such as Bitcoin and Ethereum.However,a large number of ERC-20 tokens in the cryptocur-rency market exist.ERC-20 tokens have a great market capitalization,attracting many investors'attention.This paper pro-poses TokenVis,a visual analytics system,to help investors understand the evolutionary patterns of different ERC-20 stan-dard tokens and provide explanations.The TokenVis prototype system integrates a visual analytics framework with differ-ent time granularities.We propose SegRank visualization for presenting evolutionary patterns of multiple time series and a time-based Constrained Optimization BY Linear Approximation(COBYLA)optimization algorithm to show the relation-ships between evolutionary patterns and news to provide explanations.We present two case studies involving the evolution-ary patterns of different tokens to demonstrate the effectiveness and usability of the TokenVis prototype system.

李国政;赵琮;刘驰;陈思明;王国仁

北京理工大学计算机学院,北京 100081复旦大学大数据学院,上海 200433

计算机与自动化

区块链智能合约加密货币可视分析ERC-20代币

blockchainsmart contractcryptocurrencyvisual analyticsERC-20 token

《电子学报》 2024 (002)

441-454 / 14

国家重点研发计划(No.2021YFB3301500);国家自然科学基金(No.U2268205) National Key Research and Development Program of China(No.2021YFB3301500);National Natural Science Foundation of China(No.U2268205)

10.12263/DZXB.20221341

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