  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 distinctive behavior. The largest singular value shows
a significant negative correlation with XRP/USD price. We observe the minimum
of the largest singular values at the XRP/USD price peak during the first week
of January 2018. The minimum of the largest singular value during January 2018
is explained by decomposing the correlation tensor in the signal and noise
components and also by evolution of community structure.
