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dc.contributor.authorConforti, Pietro Manganellien_US
dc.contributor.authorEmanuele, Matteoen_US
dc.contributor.authorNardelli, Pietroen_US
dc.contributor.authorSantucci, Giuseppeen_US
dc.contributor.authorAngelini, Marcoen_US
dc.contributor.editorBernard, Jürgenen_US
dc.contributor.editorAngelini, Marcoen_US
dc.date.accessioned2022-06-02T14:59:52Z
dc.date.available2022-06-02T14:59:52Z
dc.date.issued2022
dc.identifier.isbn978-3-03868-183-0
dc.identifier.issn2664-4487
dc.identifier.urihttps://doi.org/10.2312/eurova.20221078
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/eurova20221078
dc.description.abstractCryptocurrencies are a novel phenomenon in the finance world that is gaining more attention from the general public, banks, investors, and lately also academic research. A characteristic of cryptocurrencies is to be the target of investments that, due to the volatility of most of the cryptocurrencies, tends to be at high risk and behave very differently from classic currencies. A way of reducing this risk is to look at the history of existing cryptocurrencies and compare them in order to spot promising trends for increased gain. This paper introduces CryptoComparator, a Visual Analytics tool designed for allowing analysis of correlations and trends of cryptocurrencies. The system exploits an initial proposal for a double elliptic graph layout, reconfigurable with three different ordering functions, in order to support fast visual search of cryptocurrencies by correlation strength. One usecase developed with a domain expert in cryptocurrency financial activities demonstrates qualitatively the usage of the system.en_US
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing --> Visualization systems and tools; Visual analytics
dc.subjectHuman centered computing
dc.subjectVisualization systems and tools
dc.subjectVisual analytics
dc.titleCryptoComparator: A Visual Analytics Environment for Cryptocurrencies Analysisen_US
dc.description.seriesinformationEuroVis Workshop on Visual Analytics (EuroVA)
dc.description.sectionheadersApplications
dc.identifier.doi10.2312/eurova.20221078
dc.identifier.pages43-47
dc.identifier.pages5 pages


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Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Attribution 4.0 International License