Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2009-09-15
PNAS 107, 10342-10347 (2010)
Physics
Condensed Matter
Disordered Systems and Neural Networks
11 pages and 8 figures (including Supporting Information), Supporting video available at http://www.youtube.com/watch?v=3dMI1Y
Scientific paper
10.1073/pnas.0912444107
Synchronization, in which individual dynamical units keep in pace with each other in a decentralized fashion, depends both on the dynamical units and on the properties of the interaction network. Yet, the role played by the network has resisted comprehensive characterization within the prevailing paradigm that interactions facilitating pair-wise synchronization also facilitate collective synchronization. Here we challenge this paradigm and show that networks with best complete synchronization, least coupling cost, and maximum dynamical robustness, have arbitrary complexity but quantized total interaction strength that constrains the allowed number of connections. It stems from this characterization that negative interactions as well as link removals can be used to systematically improve and optimize synchronization properties in both directed and undirected networks. These results extend the recently discovered compensatory perturbations in metabolic networks to the realm of oscillator networks and demonstrate why "less can be more" in network synchronization.
Motter Adilson E.
Nishikawa Takashi
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