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Journal ArticleDOI

Cascading failures on weighted urban traffic equilibrium networks

TLDR
Simulation of the cascading failure on weighted urban traffic equilibrium networks shows that, although the latter can support larger traffic flow, homogeneous networks appear to be more robust against cascading failures than heterogeneous ones.
Abstract
In this paper, we study the cascading failure on weighted urban traffic equilibrium networks by introducing a more practical flow assignment mechanism. The whole process including edges overloading to node malfunctioning, dynamic spanning clustering and the phase transitions trigged with O–D flow evolving is simulated. It is found that there are three districts: slow, fast and stationary (collapse for scale-free networks) cascading failure districts. And different topologies have large effects on the ranges of these districts. Simulations also show that, although the latter can support larger traffic flow, homogeneous networks appear to be more robust against cascading failures than heterogeneous ones.

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Citations
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Journal ArticleDOI

Cascade-based attack vulnerability on the US power grid.

TL;DR: In this article, the authors compare the effects of two different attacks for the network robustness against cascading failures, i.e., removal by either the descending or ascending orders of the loads.
Journal ArticleDOI

Robustness of the western United States power grid under edge attack strategies due to cascading failures

TL;DR: In this article, the authors investigated the performance of the power grid of the western United States subject to three intentional attacks and showed that the effects of different attacks for the network robustness against cascading failures have close relations with the tunable parameter [theta].
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Node vulnerability of water distribution networks under cascading failures

TL;DR: Evaluating the nodal vulnerability of WDNs under cascading failures revealed that the network vulnerability should be evaluated with the consideration of hydraulic analysis and network topology.
Journal ArticleDOI

Application of Complex Networks Theory in Urban Traffic Network Researches

TL;DR: This paper reviews complex network theory related knowledge and discusses its applications in urban traffic network studies in several directions, which includes network representation methods, topological and geographical related studies, network communities mining, network robustness and vulnerability, big-data-based research, network optimization, co-evolution research and multilayer network theoryrelated studies.
Journal ArticleDOI

Mitigation strategies on scale-free networks against cascading failures

TL;DR: Surprisingly, it is found that only adopting once mitigation mechanism on a small part of the overload nodes can dramatically improve the robustness of scale-free networks.
References
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Journal ArticleDOI

Collective dynamics of small-world networks

TL;DR: Simple models of networks that can be tuned through this middle ground: regular networks ‘rewired’ to introduce increasing amounts of disorder are explored, finding that these systems can be highly clustered, like regular lattices, yet have small characteristic path lengths, like random graphs.
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Emergence of Scaling in Random Networks

TL;DR: A model based on these two ingredients reproduces the observed stationary scale-free distributions, which indicates that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems.
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Complex networks: Structure and dynamics

TL;DR: The major concepts and results recently achieved in the study of the structure and dynamics of complex networks are reviewed, and the relevant applications of these ideas in many different disciplines are summarized, ranging from nonlinear science to biology, from statistical mechanics to medicine and engineering.
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A simple model of global cascades on random networks

TL;DR: It is shown that heterogeneity plays an ambiguous role in determining a system's stability: increasingly heterogeneous thresholds make the system more vulnerable to global cascades; but anincreasingly heterogeneous degree distribution makes it less vulnerable.
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