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Journal articles

BitConduite: Exploratory Visual Analysis of Entity Activity on the Bitcoin Network

Christoph Kinkeldey 1, 2 Jean-Daniel Fekete 1 Tanja Blascheck 1, 3 Petra Isenberg 1
1 AVIZ - Analysis and Visualization
Inria Saclay - Ile de France, LISN - Laboratoire Interdisciplinaire des Sciences du Numérique, IaH - Interaction avec l'Humain
Abstract : We present BitConduite, a visual analytics approach for explorative analysis offinancial activity within the Bitcoin network, offering a view on transactions aggregated byentities, i. e. by individuals, companies or other groups actively using Bitcoin. BitConduitemakes Bitcoin data accessible to non-technical experts through a guided workflow aroundentities analyzed according to several activity metrics. Analyses can be conducted at differentscales, from large groups of entities down to single entities. BitConduite also enables analysts tocluster entities to identify groups of similar activities as well as to explore characteristics andtemporal patterns of transactions. To assess the value of our approach, we collected feedbackfrom domain experts.
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Submitted on : Tuesday, May 4, 2021 - 2:42:41 PM
Last modification on : Friday, February 11, 2022 - 11:52:07 AM


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Christoph Kinkeldey, Jean-Daniel Fekete, Tanja Blascheck, Petra Isenberg. BitConduite: Exploratory Visual Analysis of Entity Activity on the Bitcoin Network. IEEE Computer Graphics and Applications, Institute of Electrical and Electronics Engineers, 2022, 42 (1), pp.84--94. ⟨10.1109/MCG.2021.3070303⟩. ⟨hal-03199547v2⟩



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