Academic literature on the topic 'Network resilience'

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Journal articles on the topic "Network resilience"

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Liu, Xueming, Daqing Li, Manqing Ma, Boleslaw K. Szymanski, H. Eugene Stanley, and Jianxi Gao. "Network resilience." Physics Reports 971 (August 2022): 1–108. http://dx.doi.org/10.1016/j.physrep.2022.04.002.

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Colbourn, Charles J. "Network Resilience." SIAM Journal on Algebraic Discrete Methods 8, no. 3 (1987): 404–9. http://dx.doi.org/10.1137/0608033.

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Huang, Lei, Haifeng Huang, and Ying Wang. "Resilience Analysis of Traffic Network under Emergencies: A Case Study of Bus Transit Network." Applied Sciences 13, no. 15 (2023): 8835. http://dx.doi.org/10.3390/app13158835.

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With the continuous development of public transportation, the impact of unexpected events on the operation of bus networks has become increasingly severe due to the growing demand for public transportation and passenger volume. To accurately assess the impact of unexpected events on the operation of bus networks and scientifically evaluate their resilience, this paper proposes a framework for analyzing the resilience of bus networks. With the aim of providing scientific evidence to enhance the reliability of public transportation networks, this framework can be used to determine the resilience
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Kou, Gang, Xiangrui Chao, Yi Peng, and Fan Wang. "NETWORK RESILIENCE IN THE FINANCIAL SECTORS: ADVANCES, KEY ELEMENTS, APPLICATIONS, AND CHALLENGES FOR FINANCIAL STABILITY REGULATION." Technological and Economic Development of Economy 28, no. 2 (2022): 531–58. http://dx.doi.org/10.3846/tede.2022.16500.

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Security against systemic financial risks is the main theme for financial stability regulation. As modern financial markets are highly interconnected and complex networks, their network resilience is an important indicator of the ability of the financial system to prevent risks. To provide a comprehensive perspective on the network resilience of financial networks, we review the main advances in the literature on network resilience and financial networks. Further, we review the key elements and applications of financial network resilience processing in financial regulation, including financial
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Zebrowski, Chris. "Acting local, thinking global: Globalizing resilience through 100 Resilient Cities." New Perspectives 28, no. 1 (2020): 71–88. http://dx.doi.org/10.1177/2336825x20906315.

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This article investigates the globalization of resilience by examining a particular and prominent vehicle for the dissemination of resilience ideas: the Rockefeller Foundation’s 100 Resilient Cities (100RC) initiative. As a philanthropic initiative organized through a network of international cities, 100RC demonstrates how the spread of resilience thinking has been facilitated by exploiting changes in the structures and processes of global governance afforded by neoliberal globalization. The analysis focuses on explicating100RC’s animating logic of governance, which is committed to the cultiva
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Alenazi, Mohammed J. F. "ENRN: A System for Evaluating Network Resilience against Natural Disasters." Mathematics 11, no. 20 (2023): 4250. http://dx.doi.org/10.3390/math11204250.

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The frequency and severity of natural disasters is surging, posing an urgent need for robust communication network infrastructure that is capable of withstanding these events. In this paper, we present a groundbreaking graph-theoretic system designed to evaluate and enhance network resilience in the face of natural disasters. Our solution harnesses the power of topological robustness metrics, integrating real-time weather data, geographic information, detailed network topology data, advanced resilience algorithms, and continuous network monitoring. The proposed scheme considers four major real
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Veitch, P., and D. Johnson. "ATM network resilience." IEEE Network 11, no. 5 (1997): 26–33. http://dx.doi.org/10.1109/65.620519.

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Li, Rui, Yuhang Wang, Zhiyue Zhang, and Yi Lu. "Towards Smart and Resilient City Networks: Assessing the Network Structure and Resilience in Chengdu–Chongqing Smart Urban Agglomeration." Systems 13, no. 1 (2025): 60. https://doi.org/10.3390/systems13010060.

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The mobility and openness of smart cities characterize them as particularly complex networks, necessitating the resilience enhancement of smart city regions from a network structure perspective. Taking the Chengdu–Chongqing urban agglomeration as a case study, this research constructs economic, information, population, and technological intercity networks based on the complex network theory and gravity model to evaluate their spatial structure and resilience over five years. The main conclusions are as follows: (1) subnetworks exhibit a ‘core/periphery’ structure with a significant evolution t
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Yan, Xian. "Key Factors Influencing Network Resilience in Dynamical Networks." Frontiers in Computing and Intelligent Systems 3, no. 3 (2023): 99–101. http://dx.doi.org/10.54097/fcis.v3i3.8577.

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There has been much recent research focusing on the resilience of networks, providing theoretical insights into the effective response of real-world systems systems to disasters. However, few studies have analyzed the factors that affect the resilience of networks. And the network operation process varies greatly so that the dynamic behavior of the network is a factor that has to be considered. To bridge these gaps, we analyze the factors affecting dynamic network resilience in terms of network dynamics. There are two main influencing factors: differentiation of failure probability, differenti
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Shi, Jialu, Xuan Wang, Chengxin Wang, Haimeng Liu, Yi Miao, and Fuyi Ci. "Evaluation and Influencing Factors of Network Resilience in Guangdong-Hong Kong-Macao Greater Bay Area: A Structural Perspective." Sustainability 14, no. 13 (2022): 8005. http://dx.doi.org/10.3390/su14138005.

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Currently, urban crises are spreading, even tending to be magnified along the urban networks. Improving urban network resilience can effectively reduce the loss and cope with sudden disasters. Based on the dimensions of regional resilience and the framework of urban network, a new evaluation system of network resilience, including economic, social, and engineering networks, was established to assess the network resilience of the Guangdong–Hong Kong–Macao Greater Bay Area (GBA) from a structural perspective. We analyzed the spatial characteristics and influencing factors of network resilience u
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Dissertations / Theses on the topic "Network resilience"

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Ban, Buri. "Network Resilience under Dynamic Changes." Thesis, University of Louisiana at Lafayette, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=10981286.

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<p> The main purpose of this research is to discuss scenarios when some common dynamic changes happen to Wireless Sensor Networks/Autonomous Networked Robots, what the negative effect will be, along with our proposed strategies to keep networks resilient to such influence because communication between sensors/robots is fundamental to cooperation, hence the central role of the network. The first part of this dissertation considers scenarios where dynamic changes happen to static wireless sensor network, causing sensors in some sub-areas to not function anymore. Our work explores two resilient r
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Oliveira, Rodrigo Ruas. "Toward cost-efficient Dos-resilient virtual networks with ORE : opportunistic resilience embedding." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2013. http://hdl.handle.net/10183/71908.

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O atual sucesso da Internet vem inibindo a disseminação de novas arquiteturas e protocolos de rede. Especificamente, qualquer modificação no núcleo da rede requer comum acordo entre diversas partes. Face a isso, a Virtualização de Redes vem sendo proposta como um atributo diversificador para a Internet. Tal paradigma promove o desenvolvimento de novas arquiteturas e protocolos por meio da criação de múltiplas redes virtuais sobrepostas em um mesmo substrato físico. Adicionalmente, aplicações executando sobre uma mesma rede física podem ser isoladas mutuamente, propiciando a independência funci
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Holovatch, T. "Complex transportation networks : resilience, modelling and optimisation." Thesis, Coventry University, 2011. http://curve.coventry.ac.uk/open/items/eafefd84-ff08-43cf-a544-597ee5e63237/1.

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Klaus, Christian. "Network design for reliability and resilience to attack." Thesis, Monterey, California: Naval Postgraduate School, 2014. http://hdl.handle.net/10945/41406.

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Approved for public release; distribution is unlimited.<br>We define and solve two network-design problems. In the first, (1) a defender uses limited resources to select a portfolio of paths or design a sub-network; (2) an attacker then uses limited attack resources to destroy network arcs, and then (3) the defender operates the damaged network optimally by ending a shortest path. The solution identifies a network design that minimizes post-attack path length. We show how the tri-level problem is equivalent to a single-level mixed integer program (MIP) with an exponential number of rows and co
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Li, Yuhong. "Disruption Information, Network Topology and Supply Chain Resilience." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/78352.

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This dissertation consists of three essays studying three closely related aspects of supply chain resilience. The first essay is "Value of Supply Disruption Information and Information Accuracy", in which we examine the factors that influence the value of supply disruption information, investigate how information accuracy influences this value, and provide managerial suggestions to practitioners. The study is motivated by the fact that fully accurate disruption information may be difficult and costly to obtain and inaccurate disruption information can decrease the financial benefit of prio
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Dunn, Sarah, and Sean M. Wilkinson. "Increasing the resilience of air traffic networks using a network graph theory approach." Elsevier, 2015. https://publish.fid-move.qucosa.de/id/qucosa%3A72825.

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Air traffic networks are essential to today’s global society. They are the fastest means of transporting physical goods and people and are a major contributor to the globalisation of the world’s economy. This increasing reliance requires these networks to have high resilience; however, previous events show that they can be susceptible to natural hazards. We assess two strategies to improve the resilience of air traffic networks and show an adaptive reconfiguration strategy is superior to a permanent re-routing solution. We find that, if traffic networks have fixed air routes, the geographical
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Memarian, Neda. "Resilience of Water Distribution Networks." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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Resilience is widely interpreted as the capacity of a system to resist (preparation phase), absorb and withstand (responding phase), and rapidly recover from (restoration phase) exceptional conditions. During this study, a mixed variety of calculations were assessed in order to find the best solution for determination of resilience and reliability of a simple network. Then, Todini’s formula and failure index was applied to estimate reliability of system in different scenarios as constant demands in period of 24 hours, constant demands in period of 72 hours when tank will be empty (failure of t
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Lean, Kirstin. "Creating family resilience?" Thesis, University of Exeter, 2012. http://hdl.handle.net/10036/3395.

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The balance between family support and child protection services is continuously challenged by high-profile cases. These highlight shortcomings both of the UK system and of research on the effectiveness of child maltreatment interventions (Munro, 2011). One such intervention is the Resolutions Approach to ‘denied’ child abuse (Turnell and Essex, 2006) – a systemic approach which creates a support network including extended family, friends, community members and professionals. There is, however, only limited research analysing the supporters’ experience of this intervention. In the present stud
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Ganguly, Amlan. "Transient error resilience in network-on-chip communication fabrics." Online access for everyone, 2007. http://www.dissertations.wsu.edu/Thesis/Spring2007/A_Ganguly_043007.pdf.

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Yu, Yue. "Resilience Strategies for Network Challenge Detection, Identification and Remediation." Thesis, The University of Sydney, 2013. http://hdl.handle.net/2123/10277.

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The enormous growth of the Internet and its use in everyday life make it an attractive target for malicious users. As the network becomes more complex and sophisticated it becomes more vulnerable to attack. There is a pressing need for the future internet to be resilient, manageable and secure. Our research is on distributed challenge detection and is part of the EU Resumenet Project (Resilience and Survivability for Future Networking: Framework, Mechanisms and Experimental Evaluation). It aims to make networks more resilient to a wide range of challenges including malicious attacks, misconfig
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Books on the topic "Network resilience"

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Gertsbakh, Ilya, and Yoseph Shpungin. Network Reliability and Resilience. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22374-7.

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Gertsbakh, Ilya Borukhovich. Network Reliability and Resilience. Ilya Gertsbakh, 2011.

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Great Britain. Parliament. House of Commons. Trade and Industry Committee. Resilience of the National Electricity network. Stationery Office, 2004.

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Great Britain. Parliament. House of Commons. Trade and Industry Committee. HOC Paper 630 03/04 Resilience of the National Electricity Network. The Stationery Office, 2004.

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Great Britain. Parliament. House of Commons. Trade and Industry Committee. Resilience of the national electricity network: Third report of session 2003-04. Stationery Office, 2004.

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National Research Council (U.S.). Board on Earth Sciences and Resources, ed. Applications of social network analysis for building community disaster resilience: Workshop summary. National Academies Press, 2009.

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Lee-Nah, Hsu, United Nations Development Programme, UNDP South East Asia HIV and Development Programme., World Vision International, and ASEAN Secretariat, eds. Building regional HIV resilience along the ASEAN highway network: Workshop on 13-15 October 2003, Bangkok, Thailand. UNDP South East Asia HIV and Development Programme, 2004.

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Diefenderfer, Brian K. Network-level pavement evaluation of Virginia's interstate system using the falling weight deflectometer. Virginia Transportation Research Council, 2008.

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IFIP TC8 WG 8.6 International Working Conference (2006 Galway, Ireland). The transfer and diffusion of information technology for organizational resilience: IFIP TC8 WG 8.6 International Working Conference, June 7-10, 2006, Galway, Ireland. Springer Science + Business Media LLC, 2006.

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Kott, Alexander, and Igor Linkov, eds. Cyber Resilience of Systems and Networks. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-77492-3.

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Book chapters on the topic "Network resilience"

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Whitehead, James, and Mike Peckham. "Resilience." In Network Leadership. Routledge, 2022. http://dx.doi.org/10.4324/9781003092582-32.

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Klau, Gunnar W., and René Weiskircher. "Robustness and Resilience." In Network Analysis. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31955-9_15.

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Henshaw, Andrew D. "The Haqqani Network." In Understanding Insurgent Resilience. Routledge, 2020. http://dx.doi.org/10.4324/9781003028116-5.

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Wosinska, Len, Didier Colle, Piet Demeester, et al. "Network Resilience in Future Optical Networks." In Towards Digital Optical Networks. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01524-3_10.

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Villalba-Diez, Javier, Ilaria De Sanctis, Joaquín Ordieres-Meré, and Filippo Emanuele Ciarapica. "Lean Structural Network Resilience." In Studies in Computational Intelligence. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-72150-7_49.

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Gertsbakh, Ilya, and Yoseph Shpungin. "Theory." In Network Reliability and Resilience. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22374-7_1.

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Gertsbakh, Ilya, and Yoseph Shpungin. "Applications." In Network Reliability and Resilience. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22374-7_2.

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Qi, Junjian. "Interdependency Between Smart Grid and Transportation Network." In Smart Grid Resilience. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-29290-3_12.

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Qi, Junjian. "Self-Healing PMU Network Against Cyber Attacks." In Smart Grid Resilience. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-29290-3_6.

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Nicoletti, Bernardo. "Supply Network 5. Resilience and Agility." In Supply Network 5.0. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-22032-6_6.

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Conference papers on the topic "Network resilience"

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Ni, Maoquan, Daniela Renga, Michela Meo, and Marco Ajmone Marsan. "Network Sharing for Fault Resilience." In 2024 14th International Workshop on Resilient Networks Design and Modeling (RNDM). IEEE, 2024. https://doi.org/10.1109/rndm64105.2024.10820393.

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Yin, Tianzhixi, Syed Ahsan Raza Naqvi, Sai Pushpak Nandanoori, and Soumya Kundu. "Advancing Cyber-Attack Detection in Power Systems: A Comparative Study of Machine Learning and Graph Neural Network Approaches." In 2024 Resilience Week (RWS). IEEE, 2024. https://doi.org/10.1109/rws62797.2024.10799283.

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Wang, Yonghui, Jin Liu, Zhe Li, Jiaqi Ren, and Weili Li. "Analysis of Network Resilience for Physical-Logical Dual-Layer Networks in Network Management Nodes." In 2024 10th International Conference on Big Data and Information Analytics (BigDIA). IEEE, 2024. https://doi.org/10.1109/bigdia63733.2024.10808482.

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Jagadeesan, Lalita, Shushu Liu, and Lizette Velazquez. "Designing Trustworthy Decentralized Cross-Chain Marketplaces: A 6G Network of Networks Perspective." In 2024 IEEE International Conference on Cyber Security and Resilience (CSR). IEEE, 2024. http://dx.doi.org/10.1109/csr61664.2024.10679347.

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Xu, Sugang, Kiyo Ishii, Noboru Yoshikane, et al. "Enhancement of Network-Cloud Ecosystem Resilience with Openness Disaggregation and Cooperation [Invited]." In Optical Fiber Communication Conference. Optica Publishing Group, 2023. http://dx.doi.org/10.1364/ofc.2023.m1g.4.

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We investigate the problem of enhancing the resilience of future optical network-cloud ecosystems. We introduce new solutions to build disaster-resilient single-and multi-entity network-cloud ecosystems with openness, disaggregation, and cooperation between networks and clouds.
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Jajszczyk, Andrzej. "Multilayer Network Resilience." In Optical Fiber Communication Conference. OSA, 2009. http://dx.doi.org/10.1364/ofc.2009.owy5.

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Beyer, Michael, Christoph Schorn, Tagir Fabarisov, Andrey Morozov, and Klaus Janschek. "Automated Hardening of Deep Neural Network Architectures." In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-72891.

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Abstract Designing optimal neural network (NN) architectures is a difficult and time-consuming task, especially when error resiliency and hardware efficiency are considered simultaneously. In our paper, we extend neural architecture search (NAS) to also optimize a NN’s error resilience and hardware related metrics in addition to classification accuarcy. To this end, we consider the error sensitivity of a NN on the architecture-level during NAS and additionally incorporate checksums into the network as an external error detection mechanism. With an additional computational overhead as low as 17
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Capacci, Luca, and Fabio Biondini. "Effects of Structural Deterioration and Infrastructure Upgrading on the Life-cycle Seismic Resilience of Bridge Networks." In IABSE Conference, Kuala Lumpur 2018: Engineering the Developing World. International Association for Bridge and Structural Engineering (IABSE), 2018. http://dx.doi.org/10.2749/kualalumpur.2018.0340.

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&lt;p&gt;The life-cycle seismic resilience of aging bridges and road transportation networks is investigated considering the long-term effects of bridge structural deterioration and network upgrading interventions under uncertainty. The proposed methodology is applied to a highway network with spatially distributed reinforced concrete (RC) bridges exposed to chloride-induced corrosion and different earthquake scenarios. A new road segment including a bridge is added over the lifetime to strengthen the network connectivity and improve the system resilience. The results show the detrimental effe
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Rezapour, Shabnam, Ramakrishnan S. Srinivasan, Jeffrey Tew, Janet K. Allen, and Farrokh Mistree. "Architecting Fail-Safe Supply Networks." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-60055.

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A fail-safe network is one that mitigates the impact of different uncertainty sources and provides the most profitable level of service. This is achieved by having 1) a structurally fail-safe topology against rare but high magnitude stochastic events called disruptions and 2) an operationally fail-safe flow dynamic against frequent but low magnitude stochastic events called variations. A structurally fail-safe network should be robust and resilient against disruptions. Robustness and resilience respectively determine how well and how quickly disruptions are handled by the SN. Flow planning mus
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Ulrich, Jacob, Jacob Drahos, and Manimaran Govindarasu. "A symmetric address translation approach for a network layer moving target defense to secure power grid networks." In 2017 Resilience Week (RWS). IEEE, 2017. http://dx.doi.org/10.1109/rweek.2017.8088667.

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Reports on the topic "Network resilience"

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Fernandez, Jasmine, Michaela Bonnett, Teri Garstka, and Meaghan Kennedy. Exploring Social Care Network Structures. Orange Sparkle Ball, 2024. http://dx.doi.org/10.61152/hdnz4028https://www.orangesparkleball.com/innovation-library-blog/2024/5/30/sunbelt2024-exploring-social-care-network-structures.

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This research is grounded in the theory that scale-free networks form between many organizations in a community when coordinating social care services and influential hubs in the network emerge (Barabási &amp; Réka, 1999).We explore the variability in the structures of social care networks, focusing on how the diverse needs of community members and the array of providers influence these structures. We posit that the architecture of these networks may hold the key to discerning patterns in community health and social outcomes. Our study examines the resilience of social care networks, defining
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Fernandez, Jasmine, Michaela Bonnett, Teri Garstka, and Meaghan Kennedy. Exploring Social Care Network Structures. Orange Sparkle Ball, 2024. http://dx.doi.org/10.61152/hdnz4028.

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This research is grounded in the theory that scale-free networks form between many organizations in a community when coordinating social care services and influential hubs in the network emerge (Barabási &amp; Réka, 1999).We explore the variability in the structures of social care networks, focusing on how the diverse needs of community members and the array of providers influence these structures. We posit that the architecture of these networks may hold the key to discerning patterns in community health and social outcomes. Our study examines the resilience of social care networks, defining
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León, Carlos. Digital Operational Resilience Act (DORA). FNA, 2023. http://dx.doi.org/10.69701/deff9232.

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One of the key lessons of the 2007-2008 global financial crisis is the importance of financial market infrastructures (FMIs) as a pillar of financial stability. Before, the role of financial market infrastructures, namely the provision of trading, clearing, settling, recording, and compressing services for transactions between financial institutions (FIs) was often taken for granted. This was reflected in FMIs having often been referred to as the financial system’s plumbing, including by the Federal Reserve’s 14th chairman (Bernanke, 2011)—a clear reference to the critical yet concealed import
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Klise, Katherine A., Regan Murray, Michael Bynum, and Dylan Michael Moriarty. Water Network Tool for Resilience Version 0.1. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1454682.

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Kennedy, Meaghan, Michaela Bonnett, and Teri Garstka. A Model for Technology-Enabled Community Resilience. Orange Sparkle Ball, 2024. http://dx.doi.org/10.61152/plcr9111.

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Introduction Tech-Enabled Community Resilience is an innovative model designed to enhance resilience and optimize impact in complex systems such as communities and ecosystems. The model leverages social network analysis and technology to visualize network dynamics, measure interactions, and implement targeted interventions. Model Structure The approach consists of two key stages: a Startup Phase focused on assembling champions and co-creating a shared vision, and a Steady-state Phase involving iterative measurement and intervention. By utilizing technology platforms for data collection and vis
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Domingo, Sonny, and Arvie Joy Manejar. Looking at Local Government Resilience through Network Data Envelopment Analysis. Philippine Institute for Development Studies, 2020. https://doi.org/10.62986/dp2020.19.

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The study looks into the disaster risk resilience of provincial governments in the Philippines using World Bank (WB) socioeconomic resiliency estimates and cross-sectional data generated by the Department of Interior and Local Government and the Philippine Statistics Authority. Treating provincial governments as decisionmaking units (DMUs) with bureaucratic sub-units at the provincial and city/municipal levels, composite efficiency scores were generated using an integrated Data Envelopment Approach. A WB-generated socioeconomic resiliency scorecard at the provincial level provided comparative
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Ratmanski, Kiril, and Sergey Vecherin. Resilience in distributed sensor networks. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45680.

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With the advent of cheap and available sensors, there is a need for intelligent sensor selection and placement for various purposes. While previous research was focused on the most efficient sensor networks, we present a new mathematical framework for efficient and resilient sensor network installation. Specifically, in this work we formulate and solve a sensor selection and placement problem when network resilience is also a factor in the optimization problem. Our approach is based on the binary linear programming problem. The generic formulation is probabilistic and applicable to any sensor
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Klise, Katherine A., David Hart, Dylan Michael Moriarty, et al. Water Network Tool for Resilience (WNTR) User Manual. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1376816.

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Klise, Katherine, David Hart, Michael Bynum, et al. Water Network Tool for Resilience (WNTR) User Manual. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1660790.

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Musalem, Natasha, and Wendy Hawthorne. Social Vulnerability and Beacon Hill Resilience Hub Network. Office of Scientific and Technical Information (OSTI), 2023. http://dx.doi.org/10.2172/1996559.

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