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Journal articles on the topic 'Network resilience'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

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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2

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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3

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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4

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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5

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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9

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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10

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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Nagaishi, Ellie, and Kazuhiro Takemoto. "Network resilience of mutualistic ecosystems and environmental changes: an empirical study." Royal Society Open Science 5, no. 9 (2018): 180706. http://dx.doi.org/10.1098/rsos.180706.

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It is theorized that a mutualistic ecosystem's resilience against perturbations (e.g. species extinction) is determined by a single macroscopic parameter (network resilience), calculable from the network. Given that such perturbations occur owing to environmental changes (e.g. climate change and human impact), it has been predicted that mutualistic ecosystems that exist despite extensive environmental changes exhibit higher network resilience; however, such a prediction has not been confirmed using real-world data. Thus, in this study, the effects of climate change velocity and human activitie

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12

Al Adem, Samar, Daniel Schepis, and Sharon Purchase. "Orchestrating network resilience within humanitarian aid networks." Industrial Marketing Management 107 (November 2022): 190–203. http://dx.doi.org/10.1016/j.indmarman.2022.09.016.

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13

Wang, Chuanshi. "Network resilience: impact on small-world network." Applied and Computational Engineering 6, no. 1 (2023): 1337–43. http://dx.doi.org/10.54254/2755-2721/6/20230748.

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Lots of complex systems in the real world have network structures, and a number of these structures have small-world property. This kind of structures are called small-world networks. Examples include the world's air transportation system, electric power systems, and human functional brain network, and small-world property is one of the key reasons why these systems function efficiently. However, for complex systems, in addition to their efficiency, resilience or robustness is also one of the concerns, as these systems need to ensure that they do not completely collapse on their own in case of

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Li, Yue, and Jun Peng. "Evaluation of Expressive Arts Therapy on the Resilience of University Students in COVID-19: A Network Analysis Approach." International Journal of Environmental Research and Public Health 19, no. 13 (2022): 7658. http://dx.doi.org/10.3390/ijerph19137658.

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As an alternative to traditional verbal counselling, expressive arts therapy has been shown to be an effective method of mental health care, particularly when dealing with stressful public interactions, such as those associated with COVID-19. However, few studies have been conducted to determine the efficacy of expressive arts therapy on the resilience of psychologically exposed university students during COVID-19. Furthermore, since network analysis appears to be a popular approach in psychological research, it has not been used in recent intervention studies for resilience. As a result, the

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Wang, Liang, Xiaolong Xue, and Xun Zhou. "A New Approach for Measuring the Resilience of Transport Infrastructure Networks." Complexity 2020 (August 17, 2020): 1–16. http://dx.doi.org/10.1155/2020/7952309.

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Resilience is an important property of transport infrastructure networks. Resilient transport infrastructure networks can retain the performance in case of disturbances and quickly recover to the original performance level after the disturbances. This study proposes a new approach that can measure the resilience of transport infrastructure networks. The new approach gives a unified conceptual framework for measuring the resilience of transport infrastructure networks. A network simulation-based method is used to analyze the influential factors of transport infrastructure network resilience. A

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Gao, Lin, Mingzhen Wang, Anshuang Liu, and Huafeng Gong. "Comprehensive Evaluation of Urban Road Network Resilience Facing Earthquakes." Mathematical Problems in Engineering 2021 (April 30, 2021): 1–12. http://dx.doi.org/10.1155/2021/6659114.

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The road network’s transport capacity and traffic function will be directly reduced if urban roads are damaged by earthquakes. To effectively improve the resistance and recovery ability of urban road networks facing earthquake disasters, the establishment of an aseismic resilience evaluation method for the urban road network is the research goal. This paper’s novelty introduces the concept of engineering resilience into the aseismic performance evaluation of urban road networks. It reveals the internal influence principle of nodes and independent pathways on the aseismic resilience of the netw

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Feng, Q. K., D. M. Zhang, and Z. K. Huang. "Impact of extreme rainfall on metro network resilience: Shanghai metro as an example." IOP Conference Series: Earth and Environmental Science 1333, no. 1 (2024): 012016. http://dx.doi.org/10.1088/1755-1315/1333/1/012016.

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Abstract Extreme rainfall results in urban floods that are known to occur frequently and worldwide. In particular, a metro system faces a high risk of inundation owing to its special geographical location. Consequently, metro network flood resilience has attracted increased attention. This study considered Shanghai as an example to assess the resilience of metro network under extreme rainfall. First, a resilience assessment method of metro networks under extreme rainfall conditions was proposed. This method comprised comprehensive urban waterlogging analysis, construction of a topological stru

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PAU, Valentin, and Dorina Luminița COPACI. "VIRTUALIZATION AS A MEANS TO ENSURE THE RESILIENCE OF PEER-TO-PEER COMMUNICATION SYSTEMS." ANNALS OF THE ACADEMY OF ROMANIAN SCIENTISTS Series on ENGINEERING SCIENCES 14, no. 2 (2022): 97–107. http://dx.doi.org/10.56082/annalsarscieng.2022.2.97.

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Resilience to failures and deliberate attacks is becoming an essential requirement in most point-to-point communication networks today. The present paper presents a survey of strategies to ensure resilience in peer-to-peer communication networks by means of operating systems virtualization. Virtual machines can ensure the resiliency of the peer-to-peer communication network both by their very use and by providing service isolation. For hands-on research, OpenVZ as a Linux implementation of OS-level virtualization has been used.

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19

Meng, Yangyang, Xiaofei Zhao, Jianzhong Liu, and Qingjie Qi. "Dynamic Influence Analysis of the Important Station Evolution on the Resilience of Complex Metro Network." Sustainability 15, no. 12 (2023): 9309. http://dx.doi.org/10.3390/su15129309.

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With the flourishing development of the urban metro system, the topology of important nodes changes as the metro network structure evolves further. The identical important node has distinct impacts on various metro networks’ resilience. At present, the dynamic influences of important station evolution on the resilience of metro networks remain to be studied further. Taking Shenzhen Metro Network (SZMN) as an example, the dynamic influences of the structure evolution of important nodes on the resilience of the metro network were investigated in this study. Firstly, the dynamic evolution charact

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20

Lu, Jianglin, Shuiyu Yan, Wentao Yan, Zihao Li, Huihui Yang, and Xin Huang. "The Denser the Road Network, the More Resilient It Is?—A Multi-Scale Analytical Framework for Measuring Road Network Resilience." Sustainability 17, no. 9 (2025): 4112. https://doi.org/10.3390/su17094112.

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A road network is an important spatial carrier for the efficient and reliable operation of urban services and material flows. In recent years, the “high road density, small block size” trend has become a major focus in urban planning practices. However, whether high-density road networks are highly resilient lacks quantitative evidence. This study presents a multi-scale analytical framework for measuring road network resilience from a topological perspective. We abstract 186 ideal orthogonal grid density models from an actual urban road network, quantifying resilience under two disturbance sce

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21

Liu, Huifang, Xiaoyi Shi, Pengwei Yuan, and Xiaoqing Dong. "Study on the Evolution of Multiple Network Resilience of Urban Agglomerations in the Yellow River Basin." Sustainability 14, no. 18 (2022): 11174. http://dx.doi.org/10.3390/su141811174.

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To promote the healthy development of urban agglomerations in the Yellow River Basin, we construct a multi-city network-resilience evolution model based on social network theory, combined with QAP regression analysis and analyze the evolution of multiple-city network resilience in the Yellow River Basin in 2014 and 2021 by screening and drawing on indicators in social networks. The results show that (i) only the financial linkage network and the information exchange network are resilient networks, and the magnitude of the evolution of resilience level in the Yellow River basin is finance >

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22

Su, Yi-Zhu, and Wei-Chang Yeh. "Binary-Addition Tree Algorithm-Based Resilience Assessment for Binary-State Network Problems." Electronics 9, no. 8 (2020): 1207. http://dx.doi.org/10.3390/electronics9081207.

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Applications in real life are composed of different kinds of network systems; these networks may be interfered by uncontrollable or unpredictable disruptive events involving natural disasters, human errors, evil-intentioned attacks, or other disturbances. Any of these disruptive events will cause networks to malfunction and possibly result in large economic losses. As a result, it is important to assess network resilience which is a measure to describe how a network system recovers its performance and functionality to a satisfactory level from a disruptive event. Inspired by the measures of re

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23

Raicu, Serban, Eugen Rosca, and Dorinela Costescu. "Resilience of Urban Technical Networks." Entropy 21, no. 9 (2019): 886. http://dx.doi.org/10.3390/e21090886.

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The need to overcome the insulated treatment of urban technical infrastructures according to the nature of the transferred flows is argued. The operation of urban technical networks is affected by endogenous and exogenous random events with consequences for users. By identifying these operational risks and the difficulties of estimating the impact on the performance of the urban technical networks, the authors chose to study the risk management through a concise expression—in relation to the engineering resilience and its connections with vulnerability. Further, the research is confined to the

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Bachmann, Ivana, Patricio Reyes, Javier Bustos, and Alonso Silva. "Multidimensional Network Resilience Analysis." IEEE Latin America Transactions 14, no. 6 (2016): 2912–14. http://dx.doi.org/10.1109/tla.2016.7555274.

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25

Huang, Xiangyu, Zhongwei Wang, Yan Pang, Wujun Tian, and Ming Zhang. "Static Resilience Evolution of the Global Wood Forest Products Trade Network: A Complex Directed Weighted Network Analysis." Forests 15, no. 9 (2024): 1665. http://dx.doi.org/10.3390/f15091665.

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This paper analyzes the static resilience of global wood forest products trade networks across upstream, midstream, downstream, and recycling sectors using a complex directed weighted network approach. By examining topological features and resilience from 2002 to 2021, this study reveals significant structural evolution and scale expansion in these networks. It finds improvements in network efficiency and resilience, alongside an increase in weighted hierarchy highlighting the prominent roles of core countries like China, the US, and Germany. While these countries bolster network resilience, t

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Guo, Jiuxia, Zongxin Yang, Qingwei Zhong, Xiaoqian Sun, and Yinhai Wang. "A novel resilience analysis methodology for airport networks system from the perspective of different epidemic prevention and control policy responses." PLOS ONE 18, no. 2 (2023): e0281950. http://dx.doi.org/10.1371/journal.pone.0281950.

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As the COVID-19 pandemic fades, the aviation industry is entering a fast recovery period. To analyze airport networks’ post-pandemic resilience during the recovery process, this paper proposes a Comprehensive Resilience Assessment (CRA) model approach using the airport networks of China, Europe, and the U.S.A as case studies. The impact of COVID-19 on the networks is analyzed after populating the models of these networks with real air traffic data. The results suggest that the pandemic has caused damage to all three networks, although the damages to the network structures of Europe and the U.S

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Hu, Junhong, Mingshu Yang, and Yunzhu Zhen. "A Review of Resilience Assessment and Recovery Strategies of Urban Rail Transit Networks." Sustainability 16, no. 15 (2024): 6390. http://dx.doi.org/10.3390/su16156390.

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Rail transit is an important means of ensuring the sustainable development of urban transportation, but disturbance events caused by natural disasters, human factors, and other influences can lead to disruptions in rail transit operations. To cope with the impact of disturbance events on urban rail transit networks, and to explore the changes in rail transit network performance and recovery strategies under the influence of disturbance events from a resilience perspective, this paper overviews the existing research on resilience assessment and recovery strategies for urban rail transit network

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PATIL, GOPAL R., and B. K. BHAVATHRATHAN. "EFFECT OF TRAFFIC DEMAND VARIATION ON ROAD NETWORK RESILIENCE." Advances in Complex Systems 19, no. 01n02 (2016): 1650003. http://dx.doi.org/10.1142/s021952591650003x.

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Certain capacity degradation levels increase travel times on road networks, while traffic demand remains met. Resilience of a road network is higher, if it can take-in higher levels of degradation without leaving any part of the demand unmet. It is important for planners to quantify this, and it can be obtained as the output of an optimization problem. The resultant measure of resilience is demand-specific. To generalize the resilience measure, its sensitivity to change in demand should be studied. We observe that irrespective of the difference in network size or network topology, resilience d

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Kumar, Shriram Ashok, Maliha Tasnim, Zohvin Singh Basnyat, Faezeh Karimi, and Kaveh Khalilpour. "Resilience Analysis of Australian Electricity and Gas Transmission Networks." Sustainability 14, no. 6 (2022): 3273. http://dx.doi.org/10.3390/su14063273.

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Given they are two critical infrastructure areas, the security of electricity and gas networks is highly important due to potential multifaceted social and economic impacts. Unexpected errors or sabotage can lead to blackouts, causing a significant loss for the public, businesses, and governments. Climate change and an increasing number of consequent natural disasters (e.g., bushfires and floods) are other emerging network resilience challenges. In this paper, we used network science to examine the topological resilience of national energy networks with two case studies of Australian gas and e

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Kuikka, Vesa, and Heikki Rantanen. "Resilience of Multi-Layer Communication Networks." Sensors 23, no. 1 (2022): 86. http://dx.doi.org/10.3390/s23010086.

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Advances in the future communication technologies and capabilities of new services in heterogeneous network systems have increased the need for modelling and analysing various aspects of both the resilience of networked systems and usability from the user’s point of view. We extend the traditional network reliability theory to cover a wider scope of quality requirements and applications. The proposed method can be used to model the resilience of different structured networks, and the quality of information services. We use the term resilience to cover both the technical and quality-of-service

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Rodriguez, Rusber, German Alfonso Osma Pinto, Javier Enrique Solano Martínez, Robin Roche Robin Roche, and Daniel Hissel. "A Framework for the Resilience of LV Electrical Networks with Photovoltaic Power Injection." Tecnura 25, no. 70 (2021): 71–89. http://dx.doi.org/10.14483/22487638.18629.

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Context: Electrical distribution networks have undergone several changes in the last decade. Some changes include incorporating distributed energy sources, such as solar photovoltaic (PV) generation systems. It could modify the performance of the electrical network and leads to new challenges such as evaluating the impacts of the PV integration, the response to electrical and climatic disturbances, and the planning and restructuring of networks. Electrical network behavior versus PV integration could be evaluated by quantifying the variation in operation and including network resilience.

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Prema Kandasamy. "Redefining Network Resilience: A Comprehensive Metric for Wireless Communications." Communications on Applied Nonlinear Analysis 32, no. 6s (2025): 200–214. https://doi.org/10.52783/cana.v32.3287.

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As wireless communication networks become increasingly integral to modern infrastructure, ensuring their resilience against failures and attacks is paramount. This study introduces the Resilience Connectivity Index (RCI), a novel topological metric designed to evaluate the resilience of wireless networks. Unlike existing indices, RCI integrates aspects of connectivity, redundancy, and fault tolerance to provide a comprehensive measure of network robustness. We apply RCI to a real-world wireless communication system, comparing its performance with established topological indices such as the Wie

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Guo, Jiuxia, Yang Li, Zongxin Yang, and Xinping Zhu. "Quantitative method for resilience assessment framework of airport network during COVID-19." PLOS ONE 16, no. 12 (2021): e0260940. http://dx.doi.org/10.1371/journal.pone.0260940.

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The resilience and vulnerability of airport networks are significant challenges during the COVID-19 global pandemic. Previous studies considered node failure of networks under natural disasters and extreme weather. Herein, we propose a complex network methodology combined with data-driven to assess the resilience of airport networks toward global-scale disturbance using the Chinese airport network (CAN) and the European airport network (EAN) as a case study. The assessment framework includes vulnerability and resilience analyses from the network- and node-level perspectives. Subsequently, we a

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Bhavathrathan, Bhattiyil Kuzhiyamkunnath, and Gopal R. Patil. "Algorithm to Compute Urban Road Network Resilience." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 48 (2018): 104–15. http://dx.doi.org/10.1177/0361198118793329.

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Road network resilience is emerging as a vital planning criterion. Yet, unique and cross-comparable indices for road network resilience are scarce. One of the recent approaches determines resilience as a unique network attribute based on the system travel time at an upper envelope of operable disruptions. This upper envelope represents ‘critical states’ (or tipping points) of capacity disruptions. Critical state gives a bounding capacity degradation vector, beyond which the network cannot wholly cater to the origin–destination demand even under the best possible traffic assignment. However, so

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Tian, Tian, Yichen Liang, Zhipeng Peng, Yanqiu Cheng, and Kuanmin Chen. "Assessing the dynamic resilience of Urban Rail Transit Networks during their evolution using a ridership-weighted network." PLOS ONE 18, no. 9 (2023): e0291639. http://dx.doi.org/10.1371/journal.pone.0291639.

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The assessment of the resilience of Urban Rail Transit Networks (URTNs) and the analysis of their evolutionary characteristics during network growth can help in the design of efficient, safe, and sustainable networks. However, there have been few studies regarding the change of resilience in long-term network development. As for the existing resilience studies, they rarely consider the entire cycle of accident occurrence and repair; furthermore, they ignore the changes in network transportation performance during emergencies. Moreover, the measurement metrics of the important nodes have not be

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Malek, Arif Fikri, Hazlie Mokhlis, Nurulafiqah Nadzirah Mansor, Jasrul Jamani Jamian, Li Wang, and Munir Azam Muhammad. "Power Distribution System Outage Management Using Improved Resilience Metrics for Smart Grid Applications." Energies 16, no. 9 (2023): 3953. http://dx.doi.org/10.3390/en16093953.

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Smart grid systems play a significant role in improving the resilience of distribution systems (DSs). In this paper, two strategies are proposed for implementation of a smart grid application: (a) a network reconfiguration and (b) a network reconfiguration with mobile emergency generator (MEGs) deployment. An improved set of resilience metrics to quantify and enhance the resiliency of distribution systems (DSs) is developed for the proposed optimization. The metrics aim to determine a suitable strategy and the optimal number and capacity of MEGs to restore the disconnected loads through the de

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Zhang, Xinjue, and Jixin Liu. "Research on UAV Swarm Network Modeling and Resilience Assessment Methods." Sensors 24, no. 1 (2023): 11. http://dx.doi.org/10.3390/s24010011.

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The traditional UAV swarm assessment indicator lacks the whole process description of the performance change after the system is attacked. To meet the realistic demand of increasing resilience requirements for UAV swarm systems, in this paper, we study the modeling and resilience assessment methods of UAV swarm self-organized networks. First, based on complex network theory, a double layer coupled UAV swarm network model considering the communication layer and the structure layer is constructed. Then, three network topological indicators, namely, the average node degree, the average clustering

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Liu, He, Xueming Li, Shenzhen Tian, and Yingying Guan. "Research on the Evaluation of Resilience and Influencing Factors of the Urban Network Structure in the Three Provinces of Northeast China Based on Multiple Flows." Buildings 12, no. 7 (2022): 945. http://dx.doi.org/10.3390/buildings12070945.

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An important indicator for measuring the resilience and ability of urban networks to recover under external environmental shock, which is essential for the healthy development of the region, is urban network structure resilience. Herein we analyzed the resilience of the urban network structure and explored the influencing factors of resilience in the three provinces of Northeast China. We accomplished this by utilizing the Gephi profiling social network analysis tools based on the Baidu Index, road mileage, statistical data, other multi-source data, construction information, and the transporta

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Bruce, Ann, Cornell Jackson, and Chrysa Lamprinopoulou. "Social networks and farming resilience." Outlook on Agriculture 50, no. 2 (2021): 196–205. http://dx.doi.org/10.1177/0030727020984812.

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The resilience of food systems, including agricultural systems, has become a high profile issue in the face multiple disease, environmental and social challenges. Much of agriculture takes place in remote locations where social networks, or connections between individual actors, have been implicated in increasing resilience. We examine a case study of Orkney, Scotland, a remote rural location, using interviews and Social Network Analysis. This case study provides evidence indicative of resilient patterns of social networks, emphasising the importance of schools, transport links and livestock m

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AMINI, HAMED, RAMA CONT, and ANDREEA MINCA. "STRESS TESTING THE RESILIENCE OF FINANCIAL NETWORKS." International Journal of Theoretical and Applied Finance 15, no. 01 (2012): 1250006. http://dx.doi.org/10.1142/s0219024911006504.

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We propose a simulation-free framework for stress testing the resilience of a financial network to external shocks affecting balance sheets. Whereas previous studies of contagion effects in financial networks have relied on large scale simulations, our approach uses a simple analytical criterion for resilience to contagion, based on an asymptotic analysis of default cascades in heterogeneous networks. In particular, our methodology does not require to observe the whole network but focuses on the characteristics of the network which contribute to its resilience. Applying this framework to a sam

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Zhang, Xue, Yi Lu, Jie Wang, and Yongzheng Qi. "Enhancing highway transportation safety resilience during emergencies: A network-based analysis and assessment." PLOS ONE 19, no. 7 (2024): e0307233. http://dx.doi.org/10.1371/journal.pone.0307233.

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In order to evaluate the impact of emergencies on the resilience of highway transportation, a resilience network hierarchical model of the highway transportation system was constructed by analyzing the formation and emergence process of safety resilience in the highway transportation system. Four layers of networks were divided, including highway network, transport network, traffic network, and emergency network. Combined with the network hierarchical model, a resilience evaluation index system was designed, and an assessment method for highway transportation systems based on the fuzzy analyti

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Scholten, Kirstin, Dirk Pieter van Donk, Damien Power, and Stephanie Braeuer. "Contextualizing resilience to critical infrastructure maintenance supply networks." Supply Chain Management: An International Journal 28, no. 7 (2023): 1–14. http://dx.doi.org/10.1108/scm-02-2022-0078.

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Purpose To be able to continuously provide affordable services to consumers, managers of critical infrastructure (CI) maintenance supply networks have to balance investments in resilience with costs. At the same time, CI providers need to consider factors that influence resilience such as the geographical spread or the location of the network. This study aims to contextualize supply chain resilience knowledge by exploring how maintenance resource configurations impact resilience and costs in CI supply networks. Design/methodology/approach An in-depth longitudinal single case study of a represe

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Paban, Véronique, Julien Modolo, Ahmad Mheich, and Mahmoud Hassan. "Psychological resilience correlates with EEG source-space brain network flexibility." Network Neuroscience 3, no. 2 (2019): 539–50. http://dx.doi.org/10.1162/netn_a_00079.

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We aimed at identifying the potential relationship between the dynamical properties of the human functional network at rest and one of the most prominent traits of personality, namely resilience. To tackle this issue, we used resting-state EEG data recorded from 45 healthy subjects. Resilience was quantified using the 10-item Connor-Davidson Resilience Scale (CD-RISC). By using a sliding windows approach, brain networks in each EEG frequency band (delta, theta, alpha, and beta) were constructed using the EEG source-space connectivity method. Brain networks dynamics were evaluated using the net

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Yeung, Jian Sheng, Jason B. P. Lee, Yun Han Wee, and Keng Seng Mak. "Commuter-Centric Resilience Index for Rapid Transit System Networks: Case Study of the Singapore Mass Rapid Transit Network." Transportation Research Record: Journal of the Transportation Research Board 2648, no. 1 (2017): 111–16. http://dx.doi.org/10.3141/2648-13.

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Rapid transit systems (RTSs) will increasingly play an important role in the daily commute. However, RTSs are complex systems and are susceptible to degradation over time, and recurring RTS service disruptions are inevitable. Therefore, resilience should be considered in the design of an RTS network, to provide commuters alternative paths that enable them to work around service disruptions. This paper proposes a commuter-centric resilience index for RTS networks that is based on the concept of an acceptable commute time. The proposed index was applied to the Singapore Mass Rapid Transit networ

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Lewis, Ted Gyle. "The Mathematics of Catastrophe." AppliedMath 2, no. 3 (2022): 480–500. http://dx.doi.org/10.3390/appliedmath2030028.

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A mathematical description of catastrophe in complex systems modeled as a network is presented with emphasis on network topology and its relationship to risk and resilience. We present mathematical formulas for computing risk, resilience, and likelihood of faults in nodes/links of network models of complex systems and illustrate the application of the formulas to simulation of catastrophic failure. This model is not related to nonlinear “Catastrophe theory” by René Thom, E.C. Zeeman and others. Instead, we present a strictly probabilistic network model for estimating risk and resilience—two us

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Ficara, Annamaria, Francesco Curreri, Giacomo Fiumara, Pasquale De Meo, and Antonio Liotta. "Covert Network Construction, Disruption, and Resilience: A Survey." Mathematics 10, no. 16 (2022): 2929. http://dx.doi.org/10.3390/math10162929.

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Covert networks refer to criminal organizations that operate outside the boundaries of the law; they can be mainly classified as terrorist networks and criminal networks. We consider how Social Network Analysis (SNA) is used to analyze such networks in order to attain a greater knowledge of criminal behavior. In fact, SNA allows examining the network structure and functioning by computing relevant metrics and parameters to identify roles, positions, features, and other network functioning that are not otherwise easily discovered at first glance. This is why Law Enforcement Agencies (LEAs) are

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Cainey, Jill M. "Resilience and reliability for electricity networks." Proceedings of the Royal Society of Victoria 131, no. 1 (2019): 44. http://dx.doi.org/10.1071/rs19005.

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Electricity networks in Australia operate in a highly regulated framework. This framework monitors network investment to ensure positive benefits for customers and includes incentivised performance standards that cover reliability. In the current standards, major event days are excluded from the statistics for outages, because they are deemed to be outside the control of the network operators. Outages on major event days are typically the result of severe weather and tend to be prolonged and have a significant negative impact on customers, but current regulations do not cover such events. The

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Zhang, Junyin, Zhan Zhang, Dongjin Song, Ziqi Huang, and Linjun Lu. "A Study on a Framework for Identifying Critical Roads in Urban Road Traffic Networks Based on the Resilience Perspective Against the Background of Sustainable Development." Applied Sciences 15, no. 7 (2025): 3581. https://doi.org/10.3390/app15073581.

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Traffic network resilience refers to the ability of a traffic network to maintain a certain capacity and service level even when disturbed by external factors, as well as its capacity to recover following a disruptive event. This paper integrates traffic simulation with resilience analysis of urban road traffic networks and proposes a framework for identifying critical roads in urban road traffic networks from a resilience perspective. This framework is both theoretical and applicable to any unanticipated disruptive event. By incorporating four attribute indicators—traffic, topology, urban fun

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Zhang, Chuanli, Jeill Oh, and Kyoohong Park. "Evaluation of sewer network resilience index under the perspective of ground collapse prevention." Water Science and Technology 85, no. 1 (2021): 188–205. http://dx.doi.org/10.2166/wst.2021.503.

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Abstract Generally, when evaluating the resilience of infrastructure, the four properties of resilience (robustness, rapidity, resources, and redundancy, 4Rs) are widely considered. However, there is little research on the resilience assessment of sewer networks. Therefore, to establish a framework to evaluate sewer network resilience under the perspective of urban ground collapse prevention, this study considers the 13 second-level detailed indicators corresponding to the four first-level indicators (4Rs) based on literature reviews and experts' opinions. An analytic hierarchy process (AHP) i

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Xu, Jun, Xiao Li, and Xiulai Wang. "Dynamic Analysis of the Effectiveness of Emergency Collaboration Networks for Public Health Emergencies from a Systems Thinking Perspective." Systems 12, no. 12 (2024): 533. http://dx.doi.org/10.3390/systems12120533.

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In recent years, public health emergencies have become frequent worldwide. In response to these complex and evolving emergencies, the organizations involved are increasingly collaborating with each other. From a systems thinking perspective, greater attention should be given to the long-term development and continuous operation of emergency collaboration systems. By time slicing the development of the COVID-19 epidemic in Wuhan, the different phases of emergency collaboration networks can be respectively established. A new method for identifying key organization nodes and different network att

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