Self-organized explosive synchronization in complex networks: Emergence of synchronization bombs
Llu\'is Arola-Fern\'andez, Sergio Faci-L\'azaro, Per Sebastian, Skardal, Emanuel-Cristian Boghiu, Jes\'us G\'omez-Garde\~nes, Alex Arenas

TL;DR
This paper introduces a self-organized, stochastic mechanism for explosive synchronization in complex networks, revealing structural signatures and demonstrating control in both oscillatory and biological systems, with analytical insights into the transitions.
Contribution
It presents a novel self-organized process for explosive synchronization, combining local rules and stochastic optimization, applicable to diverse systems including neural and power-grid networks.
Findings
Identification of structural features like frequency-degree correlations and disassortative patterns.
Demonstration of explosive transitions in both periodic and chaotic oscillator models.
Analytical characterization of transitions using collective coordinates and Ott-Antonsen ansatz.
Abstract
We introduce the concept of synchronization bombs as large networks of coupled heterogeneous oscillators that operate in a bistable regime and abruptly transit from incoherence to phase-locking (or vice-versa) by adding (or removing) one or a few links. Here we build a self-organized and stochastic version of these bombs, by optimizing global synchrony with decentralized information in a competitive link-percolation process driven by a local rule. We find explosive fingerprints on the emerging network structure, including frequency-degree correlations, disassortative patterns and a delayed percolation threshold. We show that these bomb-like transitions can be designed both in systems of Kuramoto -- periodic -- and R\"ossler -- chaotic -- oscillators and in a model of cardiac pacemaker cells. We analytically characterize the transitions in the Kuramoto case by combining a precise…
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Taxonomy
TopicsNonlinear Dynamics and Pattern Formation · Complex Systems and Time Series Analysis · Neural dynamics and brain function
