Critical Cooperation Range to Improve Spatial Network Robustness

Abstract

A robust worldwide air-transportation network (WAN) is one that minimizes the number of stranded passengers under a sequence of airport closures. Building on top of this realistic example, here we address how spatial network robustness can profit from cooperation between local actors. We swap a series of links within a certain distance, a cooperation range, while following typical constraints of spatially embedded networks. We find that the network robustness is only improved above a critical cooperation range. Such improvement can be described in the framework of a continuum transition, where the critical exponents depend on the spatial correlation of connected nodes. For the WAN we show that, except for Australia, all continental networks fall into the same universality class. Practical implications of this result are also discussed.

References in corpus (26)

• Finding and evaluating community structure in networks
• The architecture of complex weighted networks
• Mixing patterns in networks
• The worldwide air transportation network: Anomalous centrality, community structure, and cities' global roles
• Dynamical and correlation properties of the Internet
• Multiscale mobility networks and the large scale spreading of infectious diseases
• Breakdown of the Internet under intentional attack
• Structural Vulnerability of the North American Power Grid
• Mitigation of Malicious Attacks on Networks
• The complex network of global cargo ship movements
• Spontaneous synchrony in power-grid networks
• Emergence of network features from multiplexity
• Analysis of the Airport Network of India as a complex weighted network
• Statistical Analysis of Airport Network of China
• A small-world of weak ties provides optimal global integration of self-similar modules in functional brain networks
• Urban Gravity: a Model for Intercity Telecommunication Flows
• Modeling the Multi-layer Nature of the European Air Transport Network: Resilience and Passengers Re-scheduling under random failures
• Designing optimal transport networks
• Microdynamics in stationary complex networks
• Onion structure and network robustness
• Smart Rewiring for Network Robustness
• Evolution of robust network topologies: Emergence of central backbones
• Resource allocation pattern in infrastructure networks
• Optimal Paths in Complex Networks with Correlated Weights: The World-wide Airport Network
• Traveling length and minimal traveling time for flow through percolation networks with long-range spatial correlations
• Revealing the structure of the world airline network

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