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Cluster synchronization and isolated desynchronization in complex networks with symmetries
Open accessAbstract
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. Many networks exhibit patterns of synchronized clusters, but the conditions under which this occurs are poorly understood. Pecora et al. develop an analytical approach based on computational group theory to predict the emergence and disappearance of synchrony among local clusters in complex networks.
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Cites
Emergence of Scaling in Random Networks
Barabási, A.-L., & Albert, R. (1999) · Science · doi:10.1126/science.286.5439.509 · Cited by 36,135
Newman, M. (2010) · doi:10.1093/acprof:oso/9780199206650.001.0001 · Cited by 6,595
Cited by
Random walks and diffusion on networks
Masuda, N., Porter, M. A., & Lambiotte, R. (2017) · Physics Reports · doi:10.1016/j.physrep.2017.07.007 · Cited by 657
Synchronization of chaotic systems
Pecora, L. M., & Carroll, T. L. (2015) · Chaos: An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.4917383 · Cited by 366
Self-citationExplosive transitions in complex networks’ structure and dynamics: Percolation and synchronization
Boccaletti, S., Almendral, J. A., Guan, S., Leyva, I., Liu, Z., Sendiña-Nadal, I., Wang, Z., & Zou, Y. (2016) · Physics Reports · doi:10.1016/j.physrep.2016.10.004 · Cited by 363
Abrupt Desynchronization and Extensive Multistability in Globally Coupled Oscillator Simplexes
Skardal, P. S., & Arenas, A. (2019) · Physical Review Letters · doi:10.1103/physrevlett.122.248301 · Cited by 304
Metadata
- Authors
- Pecora, L. M., Sorrentino, F., Hagerstrom, A. M., Murphy, T. E., & Roy, R.
- Venue
- Nature Communications
- Published
- 2014-06-13
- Volume
- 5
- Issue
- 1
- Pages
- 4079-4079
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2057864643
- Cited by
- 590
- References
- 2
- FWCI
- 43.53
- Type
- journal article
- Language
- en
- Open access
- bronze
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