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Modeling the Functional Network for Spatial Navigation in the Human Brain
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Navigability of interconnected networks under random failures.

Manlio De Domenico1, Albert Solé-Ribalta1, Sergio Gómez1

  • 1Departament d'Enginyeria Informàtica i Matemàtiques, Universitat Rovira i Virgili, 43007 Tarragona, Spain.

Proceedings of the National Academy of Sciences of the United States of America
|June 10, 2014
PubMed
Summary
This summary is machine-generated.

Interconnected networks are more resilient to failures than individual networks. This study quantifies network navigability using random walks, crucial for protecting critical infrastructures.

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Area of Science:

  • Network Science
  • Complex Systems
  • Infrastructure Resilience

Background:

  • Assessing the navigability of interconnected networks is vital for critical infrastructure protection.
  • Random walks and their coverage time are key metrics for network functionality.

Purpose of the Study:

  • To develop theoretical tools for analyzing random walks in interconnected networks.
  • To quantify the resilience of interconnected networks against random failures.
  • To investigate factors influencing exploration efficiency in multiplex networks.

Main Methods:

  • Developed an analytical approach for random walk covering time in interconnected networks.
  • Validated the approach with extensive Monte Carlo simulations.
  • Applied findings to London's public transport network using data-driven simulations.

Main Results:

  • Interconnected networks demonstrate enhanced resilience compared to individual layers.
  • Exploration efficiency is significantly influenced by layer topology, interconnection strength, and walk strategy.
  • Real-world data on passenger movement corroborated simulation findings.

Conclusions:

  • The study provides a framework for understanding and quantifying navigability in complex interconnected systems.
  • Findings are crucial for developing effective search and navigation strategies in real-world networks.
  • Highlights the importance of network structure and dynamics in ensuring system resilience.