Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/7967
Title: Explosive synchronization in multilayer dynamically dissimilar networks
Authors: Jalan, Sarika
Kachhvah, Ajay Deep
Keywords: Complex networks;Electric power transmission networks;Explosives;Multilayers;Synchronization;Cascading failures;Different layers;Dynamical behaviors;Epileptic seizures;Kuramoto oscillators;Multi-layer network;Multiplex networks;Small perturbations;Network layers
Issue Date: 2020
Publisher: Elsevier B.V.
Citation: Jalan, S., Kachhvah, A. D., & Jeong, H. (2020). Explosive synchronization in multilayer dynamically dissimilar networks. Journal of Computational Science, 46 doi:10.1016/j.jocs.2020.101177
Abstract: The phenomenon of explosive synchronization, which originates from hypersensitivity to small perturbation caused by some form of frustration prevailed in various physical and biological systems, has been shown to lead events of cascading failure of the power grid to chronic pain or epileptic seizure in the brain. Furthermore, networks provide a powerful model to understand and predict the properties of a diverse range of real-world complex systems. Recently, a multilayer network has been realized as a better suited framework for the representation of complex systems having multiple types of interactions among the same set of constituents. This article shows that by tuning the properties of one layer (network) of a multilayer network, one can regulate the dynamical behavior of another layer (network). By taking an example of a multiplex network comprising two different types of networked Kuramoto oscillators representing two different layers, this article attempts to provide a glimpse of opportunities and emerging phenomena multiplexing can induce which is otherwise not possible for a network in isolation. Here we consider explosive synchronization to demonstrate the potential of multilayer networks framework. To the end, we discuss several possible extensions of the model considered here by incorporating real-world properties. © 2020 Elsevier B.V.
URI: https://doi.org/10.1016/j.jocs.2020.101177
https://dspace.iiti.ac.in/handle/123456789/7967
ISSN: 1877-7503
Type of Material: Journal Article
Appears in Collections:Department of Physics

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