2023
DOI: 10.1038/s41598-023-31881-5
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Projecting XRP price burst by correlation tensor spectra of transaction networks

Abstract: Cryptoassets are becoming essential in the digital economy era. XRP is one of the large market cap cryptoassets. Here, we develop a novel method of correlation tensor spectra for the dynamical XRP networks, which can provide an early indication for XRP price. A weighed directed weekly transaction network among XRP wallets is constructed by aggregating all transactions for a week. A vector for each node is then obtained by embedding the weekly network in continuous vector space. From a set of weekly snapshots o… Show more

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Cited by 7 publications
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References 28 publications
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