BitConduite: Visualizing and Analyzing Activity on the Bitcoin Network

dc.contributor.authorKinkeldey, Christophen_US
dc.contributor.authorFekete, Jean-Danielen_US
dc.contributor.authorIsenberg, Petraen_US
dc.contributor.editorAnna Puig Puig and Tobias Isenbergen_US
dc.date.accessioned2017-06-12T05:17:52Z
dc.date.available2017-06-12T05:17:52Z
dc.date.issued2017
dc.description.abstractBitConduite 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.en_US
dc.description.sectionheadersPosters
dc.description.seriesinformationEuroVis 2017 - Posters
dc.identifier.doi10.2312/eurp.20171160
dc.identifier.isbn978-3-03868-044-4
dc.identifier.pages25-27
dc.identifier.urihttps://doi.org/10.2312/eurp.20171160
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/eurp20171160
dc.publisherThe Eurographics Associationen_US
dc.subjectVisual Knowledge Discovery
dc.subjectData Clustering
dc.subjectData Filtering
dc.subjectBusiness and Finance Visualization
dc.titleBitConduite: Visualizing and Analyzing Activity on the Bitcoin Networken_US
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