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Modeling the Functional Network for Spatial Navigation in the Human Brain
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Critical cooperation range to improve spatial network robustness.

Vitor H P Louzada1, Nuno A M Araújo2, Trivik Verma1

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

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|March 21, 2015
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Summary
This summary is machine-generated.

Cooperation between local actors improves spatial network robustness, like worldwide air-transportation networks (WAN), but only above a critical distance. This finding reveals a universal transition applicable to most continental networks.

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Area of Science:

  • Network science
  • Spatial analysis
  • Transportation engineering

Background:

  • A robust worldwide air-transportation network (WAN) is crucial for minimizing stranded passengers during airport closures.
  • Understanding how local actor cooperation influences spatial network robustness is essential for improving network resilience.

Purpose of the Study:

  • To investigate the impact of local actor cooperation on the robustness of spatially embedded networks.
  • To identify the critical cooperation range required for significant network robustness improvement.

Main Methods:

  • Simulating airport closures on a worldwide air-transportation network (WAN).
  • Swapping network links within a defined cooperation range under spatial network constraints.
  • Analyzing network robustness changes in relation to the cooperation range.

Main Results:

  • Network robustness significantly improves only when the cooperation range exceeds a critical threshold.
  • The improvement in robustness follows a continuum transition, with critical exponents dependent on node spatial correlation.
  • Most continental WANs, excluding Australia, exhibit similar universality class behavior.

Conclusions:

  • Cooperation within a critical spatial range is key to enhancing network robustness.
  • The findings offer a framework for understanding and improving the resilience of real-world transportation networks.
  • The universality of results across continental networks suggests broad applicability of the cooperation model.