title: How to suppress undesired synchronization.
abstract: Examples of synchronization can be found in a wide range of phenomena such as neurons firing, lasers cascades, chemical reactions, and opinion formation. However, in many situations the formation of a coherent state is not pleasant and should be mitigated. For example, the onset of synchronization can be the root of epileptic seizures, traffic congestion in networks, and the collapse of constructions. Here we propose the use of contrarians to suppress undesired synchronization. We perform a comparative study of different strategies, either requiring local or total knowledge, and show that the most efficient one solely requires local information. Our results also reveal that, even when the distribution of neighboring interactions is narrow, significant improvement is observed when contrarians sit at the highly connected elements. The same qualitative results are obtained for artificially generated networks and two real ones, namely, the Routers of the Internet and a neuronal network.
authors.affiliation: Computational Physics, IfB, ETH-Honggerberg, Zurich, Switzerland.
authors.forename: V H P
authors.initials: VH
authors.lastname: Louzada
authors.forename: N A M
authors.initials: NA
authors.lastname: Araújo
authors.forename: J S
authors.initials: JS
authors.lastname: Andrade
authors.forename: H J
authors.initials: HJ
authors.lastname: Herrmann
mesh_terms: D000465:Algorithms; D000818:Animals; D017173:Caenorhabditis elegans / Q000166:cytology; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D020407:Internet; D008954:Models, Biological; D009415:Nerve Net / Q000502:physiology; D016012:Poisson Distribution