MiningVis: Visual Analytics of the Bitcoin Mining Economy
Autor: | Nicolas Heulot, Nicolas Soulié, Petra Isenberg, Natkamon Tovanich |
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Přispěvatelé: | IRT SystemX, Analysis and Visualization (AVIZ), Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Interdisciplinaire des Sciences du Numérique (LISN), Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Interaction avec l'Humain (IaH), Laboratoire Interdisciplinaire des Sciences du Numérique (LISN), Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Département Droit, Economie et Finances (IMT-BS - DEFI), Télécom Ecole de Management (TEM)-Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom Business School (IMT-BS), Institut Mines-Télécom [Paris] (IMT), Laboratoire en Innovation, Technologies, Economie et Management (EA 7363) (LITEM), Université d'Évry-Val-d'Essonne (UEVE)-Université Paris-Saclay-Institut Mines-Télécom Business School (IMT-BS), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), LITEM-NPR, IRT SystemX (IRT SystemX), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Interaction avec l'Humain (IaH), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Département Droit, Economie et Finances (DEFI), Institut Mines-Télécom [Paris] (IMT)-Télécom Ecole de Management (TEM)-Institut Mines-Télécom Business School (IMT-BS) |
Rok vydání: | 2022 |
Předmět: |
Value (ethics)
Visual analytics Cryptocurrency Computer science 02 engineering and technology Pool hopping User studies [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR] Order (exchange) Component (UML) 0202 electrical engineering electronic engineering information engineering [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC] Practical implications Bitcoin mining 020207 software engineering [SHS.ECO]Humanities and Social Sciences/Economics and Finance Computer Graphics and Computer-Aided Design Data science 8. Economic growth Signal Processing Research questions Computer Vision and Pattern Recognition Mining pools Software Bitcoin |
Zdroj: | IEEE Transactions on Visualization and Computer Graphics IEEE Transactions on Visualization and Computer Graphics, 2022, 28 (1), pp.868-878. ⟨10.1109/TVCG.2021.3114821⟩ IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2022, 28 (1), pp.868-878. ⟨10.1109/TVCG.2021.3114821⟩ UnpayWall ORCID Microsoft Academic Graph Hal-Diderot HAL Evry Hyper Article en Ligne-Sciences de l'Homme et de la Société Hyper Article en Ligne INRIA a CCSD electronic archive server Mémoires en Sciences de l'Information et de la Communication |
ISSN: | 2160-9306 1077-2626 |
DOI: | 10.1109/TVCG.2021.3114821⟩ |
Popis: | International audience; We present a visual analytics tool, MiningVis, to explore the long-term historical evolution and dynamics of the Bitcoin mining ecosystem. Bitcoin is a cryptocurrency that attracts much attention but remains difficult to understand. Particularly important to the success, stability, and security of Bitcoin is a component of the system called "mining.'' Miners are responsible for validating transactions and are incentivized to participate by the promise of a monetary reward. Mining pools have emerged as collectives of miners that ensure a more stable and predictable income. MiningVis aims to help analysts understand the evolution and dynamics of the Bitcoin mining ecosystem, including mining market statistics, multi-measure mining pool rankings, and pool hopping behavior. Each of these features can be compared to external data concerning pool characteristics and Bitcoin news. In order to assess the value of MiningVis, we conducted online interviews and insight-based user studies with Bitcoin miners. We describe research questions tackled and insights made by our participants and illustrate practical implications for visual analytics systems for Bitcoin mining. |
Databáze: | OpenAIRE |
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