Visualization of Blockchain Data: A Systematic Review
| Autor: | Petra Isenberg, Jean-Daniel Fekete, Natkamon Tovanich, Nicolas Heulot |
|---|---|
| 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 de Recherche en Informatique (LRI), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), IRT SystemX (IRT SystemX) |
| Rok vydání: | 2021 |
| Předmět: |
Visual analytics
Blockchain Computer science State-of-the-Art Survey 02 engineering and technology Ethereum Information visualization Data visualization Information Visualization 0202 electrical engineering electronic engineering information engineering [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC] Point (typography) business.industry 020207 software engineering Computer Graphics and Computer-Aided Design Data science Variety (cybernetics) Visualization Analytics Visual Analytics Signal Processing Computer Vision and Pattern Recognition business Bitcoin Software |
| Zdroj: | IEEE Transactions on Visualization and Computer Graphics IEEE Transactions on Visualization and Computer Graphics, 2019, ⟨10.1109/TVCG.2019.2963018⟩ IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2019, ⟨10.1109/TVCG.2019.2963018⟩ |
| ISSN: | 2160-9306 1077-2626 |
| Popis: | International audience; 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. |
| Databáze: | OpenAIRE |
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