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NFTracer: Tracing NFT Impact Dynamics in Transaction-Flow Substitutive Systems With Visual Analytics.

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    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.

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    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.