Skip to Main content Skip to Navigation
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.
Document type :
Journal articles
Complete list of metadata

https://hal.inria.fr/hal-03199547
Contributor : Petra Isenberg <>
Submitted on : Tuesday, May 4, 2021 - 2:42:41 PM
Last modification on : Thursday, May 6, 2021 - 3:36:41 AM

File

Kinkeldey_2021_BEA.pdf
Files produced by the author(s)

Identifiers

Citation

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, 2021, ⟨10.1109/MCG.2021.3070303⟩. ⟨hal-03199547v2⟩

Share

Metrics

Record views

15

Files downloads

20