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Related Experiment Video

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Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation
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Mirror node correlations tuning synchronization in multiplex networks.

Anil Kumar1, Murilo S Baptista2, Alexey Zaikin3,4

  • 1Complex Systems Laboratory, Discipline of Physics, Indian Institute of Technology Indore, Khandwa Road, Simrol, Indore 453552, India.

Physical Review. E
|January 20, 2018
PubMed
Summary
This summary is machine-generated.

Degree-degree correlations significantly impact multiplex network synchronizability. Adjusting mirror node correlations optimizes global synchronization without altering layer structures, crucial for complex systems.

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Area of Science:

  • Complex Networks
  • Network Science
  • Systems Biology

Background:

  • Multiplex networks, with multiple layers of interactions, exhibit complex dynamics.
  • Understanding synchronization in these networks is vital for various scientific domains.

Purpose of the Study:

  • To investigate the impact of degree-degree correlations on the global synchronizability (GS) of multiplex networks.
  • To determine how to optimize GS by manipulating correlations between nodes in different layers (mirror nodes).

Main Methods:

  • Analysis of degree-degree correlations in multiplex networks.
  • Focus on the relationship between mirror node degree correlations and overall network synchronizability.
  • Comparison with single-layer network synchronization phenomena.

Main Results:

  • Degree-degree correlations critically influence multiplex network global synchronizability.
  • Optimal synchronizability achieved by tuning mirror node correlations, independent of individual layer architecture.
  • Negative correlation in mirror degrees enhances GS for mildly correlated layers; mild correlation is optimal for strongly correlated layers.
  • Global synchronization in multiplex networks is sensitive to connection density, unlike single-layer networks.

Conclusions:

  • Multiplex network synchronizability can be precisely controlled by adjusting mirror node degree-degree correlations.
  • Findings offer a method to predict and engineer the behavior of complex systems with multiple interaction types.
  • The density of connections plays a unique role in the global synchronization of multiplex systems.