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- W4386384807 abstract "In recent years the concept of metaverse has evolved in the attempt of defining richer immersive and interactive environments supporting various types of virtual experiences and interactions among users. This has led to the emergence of various different metaverse platforms that utilize blockchain technology and non-fungible tokens (NFTs) to establish ownership of metaverse elements and attach features and information to it. This article will delve into the heterogeneity of the data involved in these metaverse platforms, as well as highlight some dynamics and features of them. Moreover, the paper introduces a metaverse analysis tool developed by the authors, which leverages machine learning techniques to collect and analyze daily data, including blockchain transactions, platform-specific metadata, and social media trends. Experimental results are reported are presented with a use-case scenario focused on the trading of digital parcels, commonly referred to as metaverse real estate." @default.
- W4386384807 created "2023-09-02" @default.
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- W4386384807 date "2023-08-31" @default.
- W4386384807 modified "2023-09-28" @default.
- W4386384807 title "Exploring the data of blockchain-based metaverses" @default.
- W4386384807 doi "https://doi.org/10.48550/arxiv.2308.16787" @default.
- W4386384807 hasPublicationYear "2023" @default.
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