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 of node vectors, we construct a correlation tensor. A double singular value decomposition of the correlation tensors gives its singular values. The significance of the singular values is shown by comparing with its randomize counterpart. The evolution of singular values shows a distinc

SUBMITTER: Chakraborty A 

PROVIDER: S-EPMC10033910 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature