Robustness on topology reconfiguration of complex networks: An entropic approach

Safaei, Farshad; Yeganloo, H.; Akbar, Reza

doi:10.1016/j.matcom.2019.11.013

Cited by 19 publications

(6 citation statements)

References 41 publications

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“…Before applying the concept of Shannon entropy, it is necessary to transform adjacency matrices into stochastic matrices [ 51 ].…”

Section: Materials and Methodsmentioning

confidence: 99%

Research on Risk Contagion in ESG Industries: An Information Entropy-Based Network Approach

Hu,

Guo

2024

Entropy

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Sustainable development is a practical path to optimize industrial structures and enhance investment efficiency. Investigating risk contagion within ESG industries is a crucial step towards reducing systemic risks and fostering the green evolution of the economy. This research constructs ESG industry indices, taking into account the possibility of extreme tail risks, and employs VaR and CoVaR as measures of tail risk. The TENET network approach is integrated to to capture the structural evolution and direction of information flow among ESG industries, employing information entropy to quantify the topological characteristics of the network model, exploring the risk transmission paths and evolution patterns of ESG industries in an extreme tail risk event. Finally, Mantel tests are conducted to examine the existence of significant risk spillover effects between ESG and traditional industries. The research finds strong correlations among ESG industry indices during stock market crash, Sino–US trade frictions, and the COVID-19 pandemic, with industries such as the COAL, CMP, COM, RT, and RE playing key roles in risk transmission within the network, transmitting risks to other industries. Affected by systemic risk, the information entropy of the TENET network significantly decreases, reducing market information uncertainty and leading market participants to adopt more uniform investment strategies, thus diminishing the diversity of market behaviors. ESG industries show resilience in the face of extreme risks, demonstrating a lack of significant risk contagion with traditional industries.

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“…Before applying the concept of Shannon entropy, it is necessary to transform adjacency matrices into stochastic matrices [ 51 ].…”

Section: Materials and Methodsmentioning

confidence: 99%

Research on Risk Contagion in ESG Industries: An Information Entropy-Based Network Approach

Hu,

Guo

2024

Entropy

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“…Otherwise, design change propagation will prolong the delivery time and waste a substantial amount of human and material resources in the process of product design, making it necessary to consider the time and cost when evaluating the impact of change propagation [34,59]. Finally, in order to limit the changed components to a few modules, it is necessary to aggregate the components with high correlation [60,61]. As result, the rapid diffusion of design change information among modules can be reduced by shortening the length of the design change propagation path.…”

Section: Evaluation Of Cross-module Change Propagation Impactmentioning

confidence: 99%

Research on Control Strategy of Design Change Cross-Module Propagation

Ren

et al. 2022

Symmetry

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In the process of product design, design changes are unavoidable due to the diversification of customer requirements and the advancement of key technologies. Although modules are supposed to be functionally independent and “low-coupling” in modular products, the design change in a module can still propagate into other modules due to the interfaces among them, and this propagation increases the product development lead-time and costs. This study aims to solve the problem of cross-module propagation in design change. First, the dependence of modules on interfaces is analyzed from the perspectives of complex network characteristics, change propagation characteristics, and cost dependence, and then the correlation between modules is determined. Second, the cross-module change propagation impact is evaluated considering node importance, change cost, and propagation path length. The control strategies of cross-module design change propagation are proposed from the aspects of increasing the tolerance of interface and reducing the dependence of modules on interface, etc. Finally, a certain type of sanitation vehicle cab is utilized as an example to demonstrate the assessment process of the cross-module propagation impact of design change and to verify the feasibility of the proposed method and control strategies.

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“…Shang [30] discusses the subgraph robustness problem and puts forward a framework to investigate robustness properties of the two types of subgraphs under random attacks, localized attacks, and targeted attacks. Besides, a rewiring mechanism based on Shannon entropy concept is proposed in [31], to streamline the complex networks configuration in order to improve their resiliency.…”

Section: Literature Reviewmentioning

confidence: 99%

Robustness Analysis of Air Route Network Based on Topology Potential and Relative Entropy Methods

Ren

2021

Journal of Advanced Transportation

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Air route network (ARN) is the important carrier of air transport, and its robustness has important influence on the safety and stability of air transport. To analyze the robustness of ARN, in this paper, a topology potential relative entropy (TPRE) model is proposed, based on topology potential (TP) and relative entropy (RE) methods. Firstly, the TPRE model is established as the theoretical basis for the research. Secondly, an air route reduction network (ARRN) model is constructed according to real Chinese ARN. Besides, the basic topology features of ARRN are given by complex network theory. To prove the applicability, objectivity, and accuracy of the proposed method, attack strategies including random, degree, betweenness, closeness, eigenvector, and Bonacich are used to attack ARRN. Eventually, the performance of ARRN robustness is analyzed by network efficiency, size of giant component, and the proposed TPRE model. This conclusion has practical significance for optimizing ARN structure and improving airspace efficiency.

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Robustness on topology reconfiguration of complex networks: An entropic approach

Cited by 19 publications

References 41 publications

Research on Risk Contagion in ESG Industries: An Information Entropy-Based Network Approach

Research on Risk Contagion in ESG Industries: An Information Entropy-Based Network Approach

Research on Control Strategy of Design Change Cross-Module Propagation

Robustness Analysis of Air Route Network Based on Topology Potential and Relative Entropy Methods

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