Centrality is a key property of complex networks that influences the behavior of dynamical
processes, like synchronization and epidemic spreading, and can bring important …

Reconstructing network dynamics from data is crucial for predicting the changes in the
dynamics of complex systems such as neuron networks; however, previous research has …

It is an effective way to improve network robustness by adding connectivity links. Although
some addition strategies have been proposed, the addition cost in spatial networks is still …

Synchronization is essential for the proper functioning of power grids; we investigate the
synchronous states and their stability for cyclic power grids. We calculate the number of …

A multiplex network of identical dynamical units becomes resilient against parameter
perturbation by adding selective linear diffusive cross-coupling links. A parameter drift at any …

Compression networks are the result of a recently proposed method to transform univariate
time series to a complex network representation by using a compression algorithm. We …

We consider and theoretically analyze a Bose-Einstein condensate (BEC) trapped inside an
optomechanical system consisting of single-mode optical cavity with a moving end mirror …

Partially synchronized solitary states occur frequently when a synchronous system of
networked oscillators is perturbed locally. Remarkably, several asymptotic states of different …

Many real-world complex networks simultaneously exhibit topological features of scale-free
behaviour and hierarchical organization. In this regard, deterministic scale-free (DSF)(B …

This two-part paper considers strategic topology switching for security in the second-order
multi-agent system. In Part II, we propose a strategy on switching topologies to detect zero …