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Journal Articles IEEE Transactions on Visualization and Computer Graphics Year : 2019

Visualization of Blockchain Data: A Systematic Review

Natkamon Tovanich
Nicolas Heulot
Jean-Daniel Fekete
Petra Isenberg

Abstract

We present a systematic review of visual analytics tools used for the analysis of blockchains-related data. The blockchain concept has recently received considerable attention and spurred applications in a variety of domains. We systematically and quantitatively assessed 76 analytics tools that have been proposed in research as well as online by professionals and blockchain enthusiasts. Our classification of these tools distinguishes (1) target blockchains, (2) blockchain data, (3) target audiences, (4) task domains, and (5) visualization types. Furthermore, we look at which aspects of blockchain data have already been explored and point out areas that deserve more investigation in the future.
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Dates and versions

hal-02426339 , version 1 (02-01-2020)

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Natkamon Tovanich, Nicolas Heulot, Jean-Daniel Fekete, Petra Isenberg. Visualization of Blockchain Data: A Systematic Review. IEEE Transactions on Visualization and Computer Graphics, 2019, 27 (7), pp.3135 - 3152. ⟨10.1109/TVCG.2019.2963018⟩. ⟨hal-02426339⟩
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