BitConduite: Visualizing and Analyzing Activity on the Bitcoin Network

C. Kinkeldey, Jean-Daniel Fekete, Petra Isenberg
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引用次数: 24

Abstract

BitConduite is a system we are developing for the visual exploration of financial activity on the Bitcoin network. Bitcoin is the largest digital pseudo-currency worldwide and its study is of increasing interest and importance to economists, bankers, policymakers, and law enforcement authorities. All financial transactions in Bitcoin are available in an openly accessible online ledger—the (Bitcoin) blockchain. Yet, the open data does not lend itself easily to an analysis of how different individuals and institutions—or entities on the network—actually use Bitcoin. Our system BitConduite offers a data transformation back end that gives us an entity-based access to the blockchain data and a visualization front end that supports a novel high-level view on transactions over time. In particular, it facilitates the exploration of activity through filtering and clustering interactions. We are developing our system with experts in economics and will conduct a formal user study to assess our approach of Bitcoin activity analysis.
BitConduite:可视化和分析比特币网络上的活动
BitConduite是我们正在开发的一个系统,用于可视化地探索比特币网络上的金融活动。比特币是世界上最大的数字伪货币,对它的研究越来越受到经济学家、银行家、政策制定者和执法机构的关注和重视。比特币的所有金融交易都可以在一个公开访问的在线分类账中获得——(比特币)区块链。然而,公开的数据并不容易分析不同的个人和机构——或网络上的实体——实际上是如何使用比特币的。我们的系统BitConduite提供了一个数据转换后端,为我们提供了一个基于实体的区块链数据访问和一个可视化前端,支持一段时间内交易的新颖高级视图。特别是,它通过过滤和聚类交互促进了对活动的探索。我们正在与经济学专家一起开发我们的系统,并将进行正式的用户研究,以评估我们的比特币活动分析方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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