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 …

Purpose The aim of this study was to investigate the dynamic network connectedness
between stock markets and commodity futures and its implications on hedging strategies …

Anti-terrorism research is an important academic topic in current societies. The crucial
features of attacked incidents can be obtained effectively by identifying phase division of …

Web servers store every event in the form of logs, which contain the retrieved URL, client IP
address, access time, HTTP status code, etc. There are several useful methods to analyze …

The reliable operation of a logistics service supply chain (LSSC) is a key factor for improving
logistics efficiency and service level, and vulnerability is an important indicator of reliable …

Geography is an integral part of the cruise industry since cruises are conducted in the
geographical space and thus are submitted to spatial and geomorphological constraints …

This paper proposes a new method for converting a time-series into a weighted graph
(complex network), which builds on electrostatics in physics. The proposed method …

In this study, we provide the VisExpA (Visibility Expansion Algorithm), a computational code
that implements a recently published method, which allows generating a visibility graph from …

In many cases, the correlation between time series has a certain lag effect. To study the lag
correlation between two time series variables, we select London Metal Exchange (LME) …

Tourism is a complex socioeconomic phenomenon that has been diachronically studied
through the prism of different disciplines and by using diverse methods and models. Despite …