Adaptive dynamical networks

R Berner, T Gross, C Kuehn, J Kurths, S Yanchuk - Physics Reports, 2023 - Elsevier
It is a fundamental challenge to understand how the function of a network is related to its
structural organization. Adaptive dynamical networks represent a broad class of systems that …

The synchronized dynamics of time-varying networks

D Ghosh, M Frasca, A Rizzo, S Majhi, S Rakshit… - Physics Reports, 2022 - Elsevier
Over the past two decades, complex network theory provided the ideal framework for
investigating the intimate relationships between the topological properties characterizing the …

The Kuramoto model in complex networks

FA Rodrigues, TKDM Peron, P Ji, J Kurths - Physics Reports, 2016 - Elsevier
Synchronization of an ensemble of oscillators is an emergent phenomenon present in
several complex systems, ranging from social and physical to biological and technological …

Explosive transitions in complex networks' structure and dynamics: Percolation and synchronization

S Boccaletti, JA Almendral, S Guan, I Leyva, Z Liu… - Physics Reports, 2016 - Elsevier
Percolation and synchronization are two phase transitions that have been extensively
studied since already long ago. A classic result is that, in the vast majority of cases, these …

Explosive phenomena in complex networks

RM D'Souza, J Gómez-Gardenes, J Nagler… - Advances in …, 2019 - Taylor & Francis
The emergence of large-scale connectivity and synchronization are crucial to the structure,
function and failure of many complex socio-technical networks. Thus, there is great interest …

Dynamical systems on networks

MA Porter, JP Gleeson - Frontiers in Applied Dynamical Systems: Reviews …, 2016 - Springer
Traditionally, much of the study of networks has focused on structural features. Indeed,
mathematical subjects such as graph theory have a rich history of investigating network …

Explosive synchronization dependence on initial conditions: The minimal Kuramoto model

A Bayani, S Jafari, H Azarnoush, F Nazarimehr… - Chaos, Solitons & …, 2023 - Elsevier
Transitions from incoherent to coherent dynamical states can be observed in various real-
world networks, ranging from neurons to power-grids. These transitions can be explosive or …

Dynamic interdependence and competition in multilayer networks

MM Danziger, I Bonamassa, S Boccaletti, S Havlin - Nature Physics, 2019 - nature.com
From critical infrastructure to physiology and the human brain, complex systems rarely occur
in isolation. Instead, the functioning of nodes in one system often promotes or suppresses …

Anticipating synchronization with machine learning

H Fan, LW Kong, YC Lai, X Wang - Physical Review Research, 2021 - APS
In realistic systems of coupled oscillators, it is desired to predict the onset of synchronization
where the system equations are unknown, raising the need to develop a prediction …

Understanding the mechanisms of brain functions from the angle of synchronization and complex network

T Wu, X Zhang, Z Liu - Frontiers of Physics, 2022 - Springer
The human brain is the most complicated and fascinated system and executes various
important brain functions, but its underlying mechanism is a long-standing problem. In recent …