%0 Journal Article %T Visualization of Blockchain Data: A Systematic Review %+ IRT SystemX %+ Analysis and Visualization (AVIZ) %A Tovanich, Natkamon %A Heulot, Nicolas %A Fekete, Jean-Daniel %A Isenberg, Petra %< avec comité de lecture %@ 1077-2626 %J IEEE Transactions on Visualization and Computer Graphics %I Institute of Electrical and Electronics Engineers %V 27 %N 7 %P 3135 - 3152 %8 2019-12-30 %D 2019 %R 10.1109/TVCG.2019.2963018 %K Visual Analytics %K State-of-the-Art Survey %K Blockchain %K Bitcoin %K Ethereum %K Information Visualization %Z Computer Science [cs]/Human-Computer Interaction [cs.HC]Journal articles %X 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. %G English %2 https://hal.science/hal-02426339/document %2 https://hal.science/hal-02426339/file/blockchain_visualization_review_revised.pdf %L hal-02426339 %U https://hal.science/hal-02426339 %~ CNRS %~ INRIA %~ INRIA-SACLAY %~ INRIA_TEST %~ TESTALAIN1 %~ UMR8623 %~ CENTRALESUPELEC %~ INRIA2 %~ IRT-SYSTEMX %~ UNIV-PARIS-SACLAY %~ INRIA-SACLAY-2015 %~ CENTRALESUPELEC-SACLAY %~ BART %~ TEST-HALCNRS %~ LISN %~ GS-ENGINEERING %~ GS-COMPUTER-SCIENCE %~ LISN-AVIZ %~ INRIAARTDOI