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 …

Recurrence is a fundamental property of dynamical systems, which can be exploited to
characterise the system's behaviour in phase space. A powerful tool for their visualisation …

3.2. 2 An example: periodically stimulated firefly 61 3.2. 3 Entrainment by a pulse train 62
3.2. 4 Synchronization of higher order. Arnold tongues 65 3.2. 5 An example: periodic …

Complex networks are an important paradigm of modern complex systems sciences which
allows quantitatively assessing the structural properties of systems composed of different …

In the last two decades recurrence plots (RPs) were introduced in many different scientific
disciplines. It turned out how powerful this method is. After introducing approaches of …

There is nowadays a constant flux of data being generated and collected in all types of real
world systems. These data sets are often indexed by time, space, or both requiring …

Measuring neuronal activity with electrophysiological methods may be useful in detecting
neurological dysfunctions, such as mild traumatic brain injury (mTBI). This approach may be …

We introduce Multidimensional Recurrence Quantification Analysis (MdRQA) as a tool to
analyze multidimensional time-series data. We show how MdRQA can be used to capture …

Driver fatigue detection is of great significance for guaranteeing traffic safety and further
reducing economic as well as societal loss. In this article, a novel complex network (CN) …

Complexity is an elusive term in ecology that is often used in different ways to describe the
state of an ecosystem. Ecological complexity has been linked to concepts such as ecological …