This paper examines the system of Bitcoin exchanges with respect to their common
dynamics. We employ connectedness measures based on the daily realised volatility of …

As a newly developed method, the natural visibility graph (NVG) has attracted great
attention. Most of the previous research focuses on exploring the time series using the NVG …

Abstract Bitcoin (BTC) and Ethereum (ETH), pioneering public blockchains implementations,
are two fundamental levers to register and transfer digital value. This article studies the …

Time series segmentation is a crucial area of research in time series analysis as it can
reveal meaningful patterns or segments hidden within time series data. In this paper, we …

Serial correlations within temperature time series serve as indicators of the temporal
consistency of climate events. This study delves into the serial correlations embedded in …

A graph approach to time series data provides a new perspective for analyzing and
comprehending the characteristics of the data. One common method of converting time …

Complex network has been widely used to reveal the rule of complex system. Recently,
visibility graph method is useful tool to convert time series into complex network. And that …

The transformation of time series into complex networks through visibility graphs is an
innovative way to study time-based events. In this work, we use visibility graphs to transform …

Time series could be mapped into complex networks through the visibility or horizontal
visibility algorithms, and the properties of the constructed network reflect the nonlinear …

Most of the existing studies on the characteristics of precipitation in Shanghai only focus on
the statistical characteristics of the precipitation series rather than the internal dynamic …