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NFTracer: Tracing NFT Impact Dynamics in Transaction-Flow Substitutive Systems With Visual Analytics
Summary
Understanding NFT project growth requires analyzing impact dynamics. Similar NFT projects often substitute each other, influenced by stakeholder influx and project freshness, as shown by the NFTracer system.
Area of Science:
- Data Visualization
- Machine Learning
- Blockchain Technology
Background:
- Estimating Non-Fungible Token (NFT) project growth relies on understanding impact dynamics, including appeal diffusion and decay among stakeholders.
- Current machine learning approaches for impact dynamics lack interpretability and transparency, hindering informed decision-making for stakeholders.
- Analyzing heterogeneous NFT transaction data presents challenges for developing interactive and flexible decision-support tools.
Purpose of the Study:
- To develop an interactive visual analytics system for analyzing NFT project impact dynamics.
- To address the need for interpretable and transparent tools for stakeholders in the NFT market.
- To simulate and visualize the substitutive relationships and influence patterns within NFT ecosystems.
Main Methods:
- Conducted a formative study to define analysis criteria: substitution mechanisms, impact attributes, and stakeholder design requirements.
- Proposed the Minimal Substitution Model to represent NFT projects and their interactions as node-link graphs.
- Developed NFTracer, a multi-view visual analytics system integrating attribute-aware techniques for interactive analysis of NFT transaction data.
Main Results:
- NFT projects with higher similarity are more likely to substitute one another within the market.
- The impact of an NFT project is significantly influenced by the influx of new stakeholders and the project's 'freshness' or novelty.
- Case studies and user studies validated the informativeness, effectiveness, and usability of the NFTracer system.
Conclusions:
- The developed visual analytics system, NFTracer, provides an effective and interpretable method for understanding NFT impact dynamics.
- Stakeholder behavior and project attributes can be effectively embedded in visualization layouts for intuitive analysis.
- The findings offer valuable insights for stakeholders and project developers navigating the dynamic NFT market.
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