Vulnerability of Complex Network Structures and Systems

Polishchuk, Olexandr

doi:10.1007/s10559-020-00247-4

Cited by 6 publications

(6 citation statements)

References 13 publications

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“…The authors in [ 56 ] report a comprehensive analysis of the tolerance to attack and error on seven different datasets. In [ 57 ], the authors investigate the robustness of multigraph scale-free networks to targeted attacks. A sequential reverse list of nodes is maintained based on degree.…”

Section: Related Workmentioning

confidence: 99%

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Complex Network Analysis of Mass Violation, Specifically Mass Killing

Erum

Malick

Ahmed

et al. 2022

Entropy

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News reports in media contain news about society’s social and political conditions. With the help of publicly available digital datasets of events, it is possible to study a complex network of mass violations, i.e., Mass Killings. Multiple approaches have been applied to bring essential insights into the events and involved actors. Power law distribution behavior finds in the tail of actor mention, co-actor mention, and actor degree tells us about the dominant behavior of influential actors that grows their network with time. The United States, France, Israel, and a few other countries have been identified as major players in the propagation of Mass Killing throughout the past 20 years. It is demonstrated that targeting the removal of influential actors may stop the spreading of such conflicting events and help policymakers and organizations. This paper aims to identify and formulate the conflicts with the actor’s perspective at a global level for a period of time. This process is a generalization to be applied to any level of news, i.e., it is not restricted to only the global level.

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Section: Related Workmentioning

confidence: 99%

“…One sorts the nodes in degree-descending order. They also use the betweenness centrality, which counts the fraction of shortest paths in the network that goes through the node [ 39 , 57 ].…”

Section: Related Workmentioning

confidence: 99%

Complex Network Analysis of Mass Violation, Specifically Mass Killing

Erum

Malick

Ahmed

et al. 2022

Entropy

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“…Controlling susceptible people in virus transmission networks can prevent large-scale virus infections, and protecting high-traffic sites in the transportation networks can effectively avoid traffic congestion. [1][2][3][4][5][6][7][8][9][10] In recent years, the identification of key nodes in complex networks has become a hot spot in network scientific research, and more and more scientific research results have been proposed. The key node identification methods can be divided into two categories, local identification, and global identification.…”

Section: Introductionmentioning

confidence: 99%

Analysis of identification methods of key nodes in transportation network

Lai

Zhang

2022

Chinese Phys. B

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The identification of key nodes plays an important role in improving the robustness of the transportation network. For different types of transportation networks, the effect of the same identification method may be different. It is of practical significance to study the key nodes identification methods corresponding to various types of transportation networks. Based on the knowledge of complex networks, the metro networks and the bus networks are selected as the objects, and the key nodes are identified by the node degree identification method, the neighbor node degree identification method, the weighted k-shell degree neighborhood identification method (KSD), the degree k-shell identification method (DKS), and the degree k-shell neighborhood identification method (DKSN). Take the network efficiency and the largest connected subgraph as the effective indicators. The results show that the KSD identification method that comprehensively considers the elements has the best recognition effect and has certain practical significance.

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“…ese two concepts can be used to determine the negative impact of complex network structure on internal and external [14]. Furthermore, Sun et al considered the impact of passenger flow on the vulnerability of Shanghai's subway network [15].…”

Section: Introductionmentioning

confidence: 99%

Space-Time Evolution of Subway Vulnerability Based on Hypergraph Space

Lü

2020

Mathematical Problems in Engineering

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How to qualitatively and quantitatively evaluate the ability of the whole subway system to maintain the maximum normal operation has become a noteworthy topic. In this study, the hypergraph space structure of Nanjing subway network is used for research. This study uses the method of time-space evolution mechanism to dynamically and quantitatively analyze the gradual change characteristics of Nanjing subway system vulnerability under the influence of time and space. In addition, this study also makes static and dynamic comparative analysis on the vulnerability of a subway system by using connectivity rate and trip efficiency index, which provides new analysis methods and ideas for the study of a subway system network. The results show that although the overall structure of Nanjing’s subway network shows a loose trend, as Nanjing’s subway is still in a rapid development stage, it can be seen from the long-term planning of Nanjing’s subway that the construction of Nanjing’s subway ring line will be strengthened after the completion of the connection between the main city and the suburbs. Therefore, the vulnerability of the subway system should be reduced and the reliability will be improved.

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Vulnerability of Complex Network Structures and Systems

Cited by 6 publications

References 13 publications

Complex Network Analysis of Mass Violation, Specifically Mass Killing

Complex Network Analysis of Mass Violation, Specifically Mass Killing

Analysis of identification methods of key nodes in transportation network

Space-Time Evolution of Subway Vulnerability Based on Hypergraph Space

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