Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/7967
Full metadata record
DC FieldValueLanguage
dc.contributor.authorJalan, Sarikaen_US
dc.contributor.authorKachhvah, Ajay Deepen_US
dc.date.accessioned2022-03-17T01:00:00Z-
dc.date.accessioned2022-03-21T11:14:33Z-
dc.date.available2022-03-17T01:00:00Z-
dc.date.available2022-03-21T11:14:33Z-
dc.date.issued2020-
dc.identifier.citationJalan, S., Kachhvah, A. D., & Jeong, H. (2020). Explosive synchronization in multilayer dynamically dissimilar networks. Journal of Computational Science, 46 doi:10.1016/j.jocs.2020.101177en_US
dc.identifier.issn1877-7503-
dc.identifier.otherEID(2-s2.0-85087478184)-
dc.identifier.urihttps://doi.org/10.1016/j.jocs.2020.101177-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/7967-
dc.description.abstractThe 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.en_US
dc.language.isoenen_US
dc.publisherElsevier B.V.en_US
dc.sourceJournal of Computational Scienceen_US
dc.subjectComplex networksen_US
dc.subjectElectric power transmission networksen_US
dc.subjectExplosivesen_US
dc.subjectMultilayersen_US
dc.subjectSynchronizationen_US
dc.subjectCascading failuresen_US
dc.subjectDifferent layersen_US
dc.subjectDynamical behaviorsen_US
dc.subjectEpileptic seizuresen_US
dc.subjectKuramoto oscillatorsen_US
dc.subjectMulti-layer networken_US
dc.subjectMultiplex networksen_US
dc.subjectSmall perturbationsen_US
dc.subjectNetwork layersen_US
dc.titleExplosive synchronization in multilayer dynamically dissimilar networksen_US
dc.typeJournal Articleen_US
dc.rights.licenseAll Open Access, Green-
Appears in Collections:Department of Physics

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetric Badge: