Over the past two decades, complex network theory provided the ideal framework for
investigating the intimate relationships between the topological properties characterizing the …

It is nearly 20 years since the concept of a small-world network was first quantitatively
defined, by a combination of high clustering and short path length; and about 10 years since …

Synchronization in a network of connected elements is essential to the proper functioning of
both natural and engineered systems and is thus of increasing interest across disciplines. In …

The power of any kind of network approach lies in the ability to simplify a complex system so
that one can better understand its function as a whole. Sometimes it is beneficial, however …

ABSTRACT A potential issue of interest is figuring out how the combination of temporal and
higher-order interactions influences the collective dynamics of the brain, specifically …

Background Recent advances in genetically engineered calcium and membrane potential
indicators provide the potential to estimate the activation dynamics of individual neurons …

Adaptive networks change their connectivity with time, depending on their dynamical state.
While synchronization in structurally static networks has been studied extensively, this …

Interactions amongst agents frequently exist only at particular moments in time, depending
on their closeness in space and movement parameters. Here we propose a minimal model …

Localization of hidden attractors is one of the most challenging tasks in the nonlinear
dynamics due to deficiency of properly justified analytical and numerical procedures. But …

Many real-world complex systems are characterized by interactions in groups that change in
time. Current temporal network approaches, however, are unable to describe group …