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NFTVis: Visual Analysis of NFT Performance (2306.02712v1)

Published 5 Jun 2023 in cs.CV and cs.CE

Abstract: A non-fungible token (NFT) is a data unit stored on the blockchain. Nowadays, more and more investors and collectors (NFT traders), who participate in transactions of NFTs, have an urgent need to assess the performance of NFTs. However, there are two challenges for NFT traders when analyzing the performance of NFT. First, the current rarity models have flaws and are sometimes not convincing. In addition, NFT performance is dependent on multiple factors, such as images (high-dimensional data), history transactions (network), and market evolution (time series). It is difficult to take comprehensive consideration and analyze NFT performance efficiently. To address these challenges, we propose NFTVis, a visual analysis system that facilitates assessing individual NFT performance. A new NFT rarity model is proposed to quantify NFTs with images. Four well-coordinated views are designed to represent the various factors affecting the performance of the NFT. Finally, we evaluate the usefulness and effectiveness of our system using two case studies and user studies.

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References (61)
  1. AZUKI. https://www.azuki.com/. Accessed May, 2022.
  2. Bored ape yacht club. https://boredapeyachtclub.com/. Accessed May, 2022.
  3. China’s banking association proposes restrictions on NFTs. https://techcrunch.com/2022/04/13/chinas-banking-association-proposes-restrictions-on-nfts/. Accessed Oct, 2022.
  4. China’s first court ruling on NFT art theft holds marketplace accountable. https://www.scmp.com/tech/tech-trends/article/3175457/chinas-first-court-ruling-nft-art-theft-holds-marketplace. Accessed Oct, 2022.
  5. Cryptoart. https://cryptoart.io/. Accessed May, 2022.
  6. Cryptopunks. https://cryptopunks.app/. Accessed May, 2022.
  7. Element. https://element.market/. Accessed May, 2022.
  8. Explaining NFT rarity score models. https://www.publish0x.com/navid-ladani/explaining-nft-rarity-score-models-xmmorpr. Accessed Oct, 2022.
  9. Into the metaverse: M&A in the NFT market in 2022. https://www.jdsupra.com/legalnews/into-the-metaverse-m-a-in-the-nft-8112977/. Accessed Oct, 2022.
  10. NFTGO. https://nftgo.io/. Accessed May, 2022.
  11. NFTGO rarity model. https://docs.nftgo.io/docs/nftgo-rariry-model. Accessed Oct, 2022.
  12. OKLink. https://www.oklink.com/en/nft. Accessed May, 2022.
  13. Opensea. https://opensea.io/. Accessed May, 2022.
  14. Ranking rarity: Understanding rarity calculation methods. https://raritytools.medium.com/ranking-rarity-understanding-rarity-calculation- methods-86ceaeb9b98c. Accessed Oct, 2022.
  15. Rarity.tools. https://rarity.tools/. Accessed May, 2022.
  16. The NFT market is probably not as down as you think it is. https://fortune.com/2022/05/05/nft-market-sales-not-flatlining-data-shows/. Accessed Oct, 2022.
  17. L. Ante. Non-fungible token (NFT) markets on the Ethereum blockchain: Temporal development, cointegration and interrelations. Available at SSRN, 2021.
  18. L. Ante. The non-fungible token (NFT) market and its relationship with Bitcoin and Ethereum. Available at SSRN, 2021.
  19. Visualization of innovation in global supply chain networks. Decision Sciences, 48(2):288–306, 2017.
  20. Shape indexing using approximate nearest-neighbour search in high-dimensional spaces. In Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 1000–1006, 1997.
  21. D33{}^{3}start_FLOATSUPERSCRIPT 3 end_FLOATSUPERSCRIPT data-driven documents. IEEE Transactions on Visualization and Computer Graphics, 17(12):2301–2309, 2011.
  22. U. W. Chohan. Non-fungible tokens: Blockchains, scarcity, and value. Critical Blockchain Research Initiative (CBRI) Working Papers, 2021.
  23. M. Dowling. Fertile land: Pricing non-fungible tokens. Finance Research Letters, 44:102096, 2022.
  24. M. Dowling. Is non-fungible token pricing driven by cryptocurrencies? Finance Research Letters, 44:102097, 2022.
  25. T. Dwyer and P. Eades. Visualising a fund manager flow graph with columns and worms. In Proceedings of Proceedings Sixth International Conference on Information Visualisation, pp. 147–152, 2002.
  26. T. Dwyer and D. R. Gallagher. Visualising changes in fund manager holdings in two and a half-dimensions. Information Visualization, 3(4):227–244, 2004.
  27. Bitcoin transaction graph analysis. Arxiv Preprint arXiv:1502.01657, 2015.
  28. M. Franceschet. Hits hits art. Blockchain: Research and Applications, 2(4):100038, 2021.
  29. M. Franceschet. The sentiment of crypto art. Proceedings http://ceur-ws. Org ISSN, 1613:0073, 2021.
  30. RiskVis: Supply chain visualization with risk management and real-time monitoring. In Proceedings of IEEE International Conference on Automation Science and Engineering (CASE), pp. 207–212, 2013.
  31. TweetBoost: Influence of social media on NFT valuation. Arxiv Preprint arXiv:2201.08373, 2022.
  32. A spectral visualization system for analyzing financial time series data. In Proceedings of Eurographics/IEEE TCVG Symposium on Visualization, pp. 195–202, 2006.
  33. J. M. Kleinberg. Authoritative sources in a hyperlinked environment. Journal of the ACM (JACM), 46(5):604–632, 1999.
  34. A survey on visual analysis approaches for financial data. In Proceedings of Computer Graphics Forum, pp. 599–617, 2016.
  35. A. Lipton and A. Sepp. Automated market-making for fiat currencies. Available at SSRN, 2021.
  36. D. G. Lowe. Object recognition from local scale-invariant features. In Proceedings of the Seventh IEEE International Conference on Computer Vision, pp. 1150–1157, 1999.
  37. D. G. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2):91–110, 2004.
  38. Understanding digital bubbles amidst the COVID-19 pandemic: Evidence from DeFi and NFTs. Finance Research Letters, p. 102584, 2021.
  39. Visualizing dynamic bitcoin transaction patterns. Big Data, 4(2):109–119, 2016.
  40. Mapping the NFT revolution: market trends, trade networks, and visual features. Scientific Reports, 11(1):1–11, 2021.
  41. J. Pantz. Pnl prediction under extreme scenarios. Available at SSRN, 2013.
  42. A. Parham and C. Breitinger. Non-fungible tokens: Promise or peril? Arxiv Preprint arXiv:2202.06354, 2022.
  43. Spotting anomalous trades in NFT markets: The case of NBA topshot. Arxiv Preprint arXiv:2202.04013, 2022.
  44. D. Phillips. The 10 most expensive NFTs ever sold, 2021.
  45. The NFT hype: What draws attention to non-fungible tokens? Mathematics, 10(3):335, 2022.
  46. “It’s a blessing and a curse”: Unpacking creators’ practices with non-fungible tokens (NFTs) and their communities. Arxiv Preprint arXiv:2201.13233, 2022.
  47. B. Shneiderman. Tree visualization with tree-maps: 2-d space-filling approach. ACM Transactions on Graphics (TOG), 11(1):92–99, 1992.
  48. Supply chain simulator: A scenario-based educational tool to enhance student learning. Computers & Education, 51(1):252–261, 2008.
  49. J. Singh and P. Singh. Distributed ownership model for non-fungible tokens. Smart and Sustainable Intelligent Systems, pp. 307–321, 2021.
  50. R. Smeulders and A. Heijs. Interactive visualization of high dimensional marketing data in the financial industry. In Proceedings of Ninth International Conference on Information Visualisation (IV’05), pp. 814–817, 2005.
  51. L. J. Trautman. Virtual art and non-fungible tokens. Available at SSRN, 2021.
  52. COVID-19 impact on NFTs and major asset classes interrelations: Insights from the wavelet coherence analysis. Finance Research Letters, p. 102725, 2022.
  53. Quantifying NFT-driven networks in crypto art. Scientific Reports, 12(1):1–11, 2022.
  54. D. Vidal-Tomás. The new crypto niche: NFTs, play-to-earn, and metaverse tokens. Finance Research Letters, p. 102742, 2022.
  55. Non-fungible token (NFT): Overview, evaluation, opportunities and challenges. Arxiv Preprint arXiv:2105.07447, 2021.
  56. M. Wattenberg. Visualizing the stock market. In Proceedings of CHI’99 Extended Abstracts on Human Factors in Computing Systems, pp. 188–189, 1999.
  57. A. Whitaker. Art and blockchain: A primer, history, and taxonomy of blockchain use cases in the arts. Artivate, 8(2):21–46, 2019.
  58. Supoolvisor: a visual analytics system for mining pool surveillance. Frontiers of Information Technology & Electronic Engineering, 21(4):507–523, 2020.
  59. Sportfolio: Stratified visual analysis of stock portfolios. IEEE Transactions on Visualization and Computer Graphics, 26(1):601–610, 2019.
  60. iquant: Interactive quantitative investment using sparse regression factors. In Proceedings of Computer Graphics Forum, pp. 189–200, 2021.
  61. Bitextract: Interactive visualization for extracting bitcoin exchange intelligence. IEEE Transactions on Visualization and Computer Graphics, 25(1):162–171, 2018.
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