Author
Listed:
- Louis M. Pecora
(US Naval Research Laboratory)
- Francesco Sorrentino
(University of New Mexico)
- Aaron M. Hagerstrom
(University of Maryland
Institute for Research in Electronics and Applied Physics, University of Maryland)
- Thomas E. Murphy
(Institute for Research in Electronics and Applied Physics, University of Maryland
University of Maryland)
- Rajarshi Roy
(Institute for Research in Electronics and Applied Physics, University of Maryland
University of Maryland
Institute for Physical Science and Technology, University of Maryland)
Abstract
Synchronization is of central importance in power distribution, telecommunication, neuronal and biological networks. Many networks are observed to produce patterns of synchronized clusters, but it has been difficult to predict these clusters or understand the conditions under which they form. Here we present a new framework and develop techniques for the analysis of network dynamics that shows the connection between network symmetries and cluster formation. The connection between symmetries and cluster synchronization is experimentally confirmed in the context of real networks with heterogeneities and noise using an electro-optic network. We experimentally observe and theoretically predict a surprising phenomenon in which some clusters lose synchrony without disturbing the others. Our analysis shows that such behaviour will occur in a wide variety of networks and node dynamics. The results could guide the design of new power grid systems or lead to new understanding of the dynamical behaviour of networks ranging from neural to social.
Suggested Citation
Louis M. Pecora & Francesco Sorrentino & Aaron M. Hagerstrom & Thomas E. Murphy & Rajarshi Roy, 2014.
"Cluster synchronization and isolated desynchronization in complex networks with symmetries,"
Nature Communications, Nature, vol. 5(1), pages 1-8, September.
Handle:
RePEc:nat:natcom:v:5:y:2014:i:1:d:10.1038_ncomms5079
DOI: 10.1038/ncomms5079
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