Robustness assessment of Hetero-functional graph theory based model of interdependent urban utility networks
Reads0
Chats0
TLDR
In this paper, a weighted Hetero-functional graph theory (HFGT) based modeling framework is proposed to assess the robustness of interdependent networks against complete/partial and random/targeted attacks, and several robustness metrics are used to provide a comprehensive evaluation of system robustness.About:
This article is published in Reliability Engineering & System Safety.The article was published on 2021-08-01 and is currently open access. It has received 24 citations till now. The article focuses on the topics: Interdependent networks & Flow network.read more
Citations
More filters
Journal ArticleDOI
Scalable graph neural network-based framework for identifying critical nodes and links in complex networks
TL;DR: In this article, the authors proposed a scalable and generic graph neural network (GNN) based framework for identifying critical nodes/links in large complex networks, which defines a GNN based model that learns the node/link criticality score on a small representative subset of nodes and links.
Journal ArticleDOI
From random failures to targeted attacks in network dismantling
TL;DR: In this paper, the authors proposed a novel perspective to solve the network dismantling problem, instead of designing an effective attack from scratch, they show how knowledge extracted from random failures in the network leads to extremely effective attacks.
Journal ArticleDOI
From random failures to targeted attacks in network dismantling
TL;DR: In this paper , the authors proposed a novel perspective to solve the network dismantling problem, instead of designing an effective attack from scratch, they show how knowledge extracted from random failures in the network leads to extremely effective attacks.
Journal ArticleDOI
Predictive resilience of interdependent water and transportation infrastructures: A sociotechnical approach
TL;DR: In this article, the authors proposed a resilience assessment framework for interdependent water and transportation infrastructures, which incorporates the physical network of these infrastructure, social vulnerability indicators, and predictive analytics for a sociotechnical resilience assessment.
Journal ArticleDOI
Predictive resilience of interdependent water and transportation infrastructures: A sociotechnical approach
TL;DR: In this paper , the authors proposed a resilience assessment framework for interdependent water and transportation infrastructures, which incorporates the physical network of these infrastructure, social vulnerability indicators, and predictive analytics for a sociotechnical resilience assessment.
References
More filters
Book
Introduction to Algorithms
TL;DR: The updated new edition of the classic Introduction to Algorithms is intended primarily for use in undergraduate or graduate courses in algorithms or data structures and presents a rich variety of algorithms and covers them in considerable depth while making their design and analysis accessible to all levels of readers.
Journal ArticleDOI
Network Robustness and Fragility: Percolation on Random Graphs
Duncan S. Callaway,Mark Newman,Mark Newman,Steven H. Strogatz,Duncan J. Watts,Duncan J. Watts +5 more
TL;DR: This paper studies percolation on graphs with completely general degree distribution, giving exact solutions for a variety of cases, including site percolators, bond percolations, and models in which occupation probabilities depend on vertex degree.
Journal ArticleDOI
Multilayer Networks
TL;DR: In most natural and engineered systems, a set of entities interact with each other in complicated patterns that can encompass multiple types of relationships, change in time, and include other types of complications.
Journal ArticleDOI
Review on modeling and simulation of interdependent critical infrastructure systems
TL;DR: To better understand CISs to support planning, maintenance and emergency decision making, modeling and simulation of interdependencies across CISs has recently become a key field of study and this paper reviews the studies in the field and broadly groups the existing modeling and Simulation approaches into six types.