In the last decade, there has been a growing body of literature addressing the utilization of
complex network methods for the characterization of dynamical systems based on time …

The analysis of time series and images is significant across different fields due to their
widespread applications. In the past few decades, many approaches have been developed …

Climate change poses a serious threat to the survival and development of humankind.
Accordingly, sustainable socioeconomic transformation has become a major global concern …

In this paper, we study both the horizontal visibility graph (HVG) and the limited penetrable
horizontal visibility graph (LPHVG) mapped from the Thue–Morse sequence. Firstly, we map …

The Bitcoin market attracts special attentions for its inspirational advantages over the
traditional currency system. It can be regarded also as a typical social experiment of rare …

The systemic risk of financial systems can affect the entirety of stock markets around the
world. As the time series of stock markets contain rich information of the corresponding …

Interrelation measurement is the basis of big data mining. This paper proposes an efficient
method to measure the dynamic correlation and synchronicity relationship of …

Time series analysis is exploited when temporal measurements about a phenomenon exist.
Visibility graphs are a method for representing and analyzing time series. One of the …

We propose a cross horizontal visibility graph (CHVG) algorithm to explore associations
between two time series. As a natural extension of the classic horizontal visibility graph …

Faced with the high-dimensional characteristics of time series, symbolization is usually used
to reduce the dimensionality and effectively eliminate redundancy and irrelevant features …