Uncovering Hierarchical Structure of International FOREX Market by Using Similarity Metric between Fluctuation Distributions of Currencies

Projecting XRP price burst by correlation tensor spectra of transaction networks

“…We explain this decrease in the correlation during the bubble period by the evolution of community structure that shows disruptive behavior during the bubble period. The disruptive behavior of community structure has also been observed in the foreign exchange market during economic downturns 17 .…”

“…different stocks [13][14][15] and foreign exchange rates 16,17 , monthly macroeconomic data 18 , or different medical data such as electroencephalogram, magnetoencephalography data recording 19 . Also, Kondor et al applied principal component analysis on the matrices obtained from the daily network snapshots to show the relationship between the price of bitcoin with structural changes in the transaction network 20 .…”

The Impact of the Measure Used to Calculate the Distance between Exchange Rate Time Series on the Topological Structure of the Currency Network

“…In Shternshis et al (2022) [48], the clustering of financial time series into different groups according to the Kullback-Leibler entropy measure was performed. Chakraborty et al (2020) [49] examined the relationship between currencies and analyzed network clusters during periods of severe international crises using a method based on the Jensen-Shannon divergence. The variety of instruments that have been previously used in network analyses justifies the intention to compare the effects of their use, which is what is done in this work.…”

A precise bare simulation approach to the minimization of some distances. Foundations

“…There is a vast literature on recent applications of the Jensen-Shannon divergence, for instance it appears exemplarily in Kvitsiani et al [208] for finding connections between the circuit-level function of different interneuron types in regulating the flow of information and the behavioural functions served by the cortical circuits, in Xu et al ( 2014) for browsing and exploration of video sequences, in Jenkinson et al [168] for the fundamental understanding of the epigenome that leads to a powerful approach for studying its role in disease and aging, in Martin et al [250] for the implementation of an evolutionary-based global localization filter for mobile robots, in Suo et al [354] for the revelation of critical regulators of cell identity in mice, in Abante et al [2] for the detection of biologically significant differences in DNA methylation between alleles associated with local changes in genetic sequences -for a better understanding of the mechanism of complex human diseases, in Afek et al [5] for revealing mechanisms by which mismatches can recruit transcription factors for modulating replication and repair activities in cells, in Alaiz-Rodriguez & Parnell [10] for the quantification of stability in feature selection and ranking algorithms, in Biau et al [53] for generative adversarial networks (GANs) in artificial intelligence and machine learning, in Carre et al [74] for the standardization of brain magnetic resonance (MR) images, in Chakraborty et al [75] for hierarchical clustering in foreign exchange FOREX markets (e.g. in periods of major international crises), in Chong et al [87] as part of a web-based platform for comprehensive analysis of microbiome data outputs, in Cui et al [101] for modelling latent friend recommendation in online social media, in Gholami & Hodtani [134] for refinements of safety-and-security-targeted location verification systems in wireless communication networks (e.g in Intelligent Transportation Systems (ITSs) and vehicular technology), in Guo & Yuan [146] for accurate abnormality classification in semi-supervised Wireless Capsule Endoscopy (WCE) for digestive system cancer diagnosis, in Jiang et al [169] for the training of deep neural discriminative and generative networks used for designing and evaluating photonic devices, in Kartal et al [186] for uncovering the relationship between some genomic features and cell type-specific methylome diversity, in Laszlovszky et al [210] for investigating mechanisms of basal forebrain neurons which modulate synaptic plasticity,cortical processing, brain states and oscillations, in Lawson et al [211] for the improved understanding of some genetic circuit...…”