Non-fungible tokens (NFTs) represent digital ownership through blockchain technology, showing explosive growth in 2021 with significant sales and unique value derived from scarcity.
By analyzing the NFT transaction network and its growth rate, we can forecast the potential survival of NFT bubbles, highlighting the need for understanding market dynamics.
The emergence of NFTs has created an ecosystem where unique digital assets are not only traded but also serve as a proof of ownership, enhancing their perceived value.
Utilizing graph algorithms and the Logarithmic periodic power law (LPPL), this study aims to predict market trends specifically using data from prominent NFT collections like 'CryptoPunks'.
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