NFTracer : Tracing NFT Impact Dynamics in Transaction-flow Substitutive Systems with Visual Analytics
Impact dynamics are crucial for estimating the growth patterns of NFT projects by tracking the diffusion and decay of their relative appeal among stakeholders. Machine learning methods for impact dynamics analysis are incomprehensible and rigid in terms of their interpretability and transparency, wh...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - PP(2024) vom: 20. Mai
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| 1. Verfasser: |
Cao, Yifan
(VerfasserIn) |
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| Weitere Verfasser: |
Shi, Qing,
Shen, Lue,
Chen, Kani,
Wang, Yang,
Zeng, Wei,
Qu, Huamin |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
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| Schlagworte: | Journal Article |
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