Signal propagation in complex networks drives epidemics, is responsible for information
going viral, promotes trust and facilitates moral behavior in social groups, enables the …

Network-based modeling of complex systems and data using the language of graphs has
become an essential topic across a range of different disciplines. Arguably, this graph-based …

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 availability of time series of the evolution of the properties of physical systems is
increasing, stimulating the development of many novel methods for the extraction of …

Many biological and neural systems can be seen as networks of interacting periodic
processes. Importantly, their functionality, ie, whether these networks can perform their …

Rhythmic behavior represents one of the most striking and ubiquitous manifestations of
functional evolution for a wide class of natural and man-made systems. The emergence of …

The emergence of synchronization in systems of coupled agents is a pivotal phenomenon in
physics, biology, computer science, and neuroscience. Traditionally, interaction systems …

The basic theoretical assumptions of Exercise Physiology and its research directions,
strongly influenced by reductionism, may hamper the full potential of basic science …

This paper studies the synchronization of a network with linear diffusive coupling, which
blinks between the variables periodically. The synchronization of the blinking network in the …

Investigating the dynamics of a network of oscillatory systems is a timely and urgent topic.
Phase synchronization has proven paradigmatic to study emergent collective behavior …