Author
Schaub, M
O'Clery, N
Billeh, Y
Delvenne, J
Lambiotte, R
Barahona, M
Journal title
Chaos: An Interdisciplinary Journal of Nonlinear Science
DOI
10.1063/1.4961065
Issue
9
Volume
26
Last updated
2022-07-01T05:06:18.027+01:00
Page
094821-
Abstract
Synchronization over networks depends strongly on the structure of the coupling between the oscillators. When the coupling presents certain regularities, the dynamics can be coarse-grained into clusters by means of External Equitable Partitions of the network graph and their associated quotient graphs. We exploit this graph-theoretical concept to study the phenomenon of cluster synchronization, in which different groups of nodes converge to distinct behaviors. We derive conditions and properties of networks in which such clustered behavior emerges and show that the ensuing dynamics is the result of the localization of the eigenvectors of the associated graph Laplacians linked to the existence of invariant subspaces. The framework is applied to both linear and non-linear models, first for the standard case of networks with positive edges, before being generalized to the case of signed networks with both positive and negative interactions. We illustrate our results with examples of both signed and unsigned graphs for consensus dynamics and for partial synchronization of oscillator networks under the master stability function as well as Kuramoto oscillators.
Symplectic ID
668790
Favourite
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Publication type
Journal Article
Publication date
19 Aug 2016
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