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Studying Cell Cycle-regulated Gene Expression by Two Complementary Cell Synchronization Protocols
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How to suppress undesired synchronization.

V H P Louzada1, N A M Araújo, J S Andrade

  • 1Computational Physics, IfB, ETH-Honggerberg, Zurich, Switzerland.

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|September 21, 2012
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Summary
This summary is machine-generated.

Contrarians can suppress unwanted synchronization in networks. The most effective strategy uses local information and targets highly connected nodes, applicable to real-world systems like the internet and neuronal networks.

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Area of Science:

  • Complex systems
  • Network science
  • Synchronization phenomena

Background:

  • Synchronization is prevalent in natural and artificial systems, from neuronal firing to opinion formation.
  • Undesired synchronization can lead to detrimental effects like epileptic seizures, traffic congestion, and structural failures.
  • Mitigating emergent synchronization is crucial for system stability and functionality.

Purpose of the Study:

  • To introduce and evaluate the use of 'contrarians' as a strategy to suppress undesirable synchronization in complex networks.
  • To compare different contrarian strategies based on information requirements (local vs. total knowledge).
  • To identify optimal placement and strategy for contrarians to maximize suppression efficiency.

Main Methods:

  • Comparative analysis of contrarian strategies on various network models.
  • Simulation of synchronization dynamics with and without contrarian interventions.
  • Evaluation of strategy efficiency based on local versus global information requirements.
  • Testing on artificially generated and real-world networks (Internet routers, neuronal networks).

Main Results:

  • A contrarian strategy requiring only local information proved most effective in suppressing synchronization.
  • Placing contrarians on highly connected nodes significantly enhances suppression, even in networks with narrow interaction distributions.
  • The effectiveness of contrarian strategies was consistent across different network topologies, including real-world examples.

Conclusions:

  • Contrarians offer a viable method for mitigating detrimental synchronization in complex systems.
  • Local information-based contrarian strategies are efficient and practical for network control.
  • Targeting central nodes with contrarians is a key factor in successful synchronization suppression.