2021
DOI: 10.1002/cpe.6560
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A new approach for node centrality evaluation based on residual network performance measurement

Abstract: The identification of the most influential nodes has been a vibrant subject in complex network research, with many applications across informational, social or biological networks. Despite substantial empirical studies, there is still some defect in the traditional approach for evaluating nodes centralities. The traditional approach for evaluating nodes centralities is to measure network performance change before and after a node fails. To be compatible with this approach, network performance measurement index… Show more

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Cited by 2 publications
(2 citation statements)
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“…As a result, few indexes can measure various topologies of networks effectively. In the research [5] , node importance is measured by the comprehensive length of the remaining network. The comprehensive length is a new index, in which the infinite distance between an unconnected node pair is represented by the network size.…”
Section: The Different Methods For Identifying Key Nodesmentioning
confidence: 99%
“…As a result, few indexes can measure various topologies of networks effectively. In the research [5] , node importance is measured by the comprehensive length of the remaining network. The comprehensive length is a new index, in which the infinite distance between an unconnected node pair is represented by the network size.…”
Section: The Different Methods For Identifying Key Nodesmentioning
confidence: 99%
“…In many complex networks such as communication networks not only care about the scale of cascading failure, but also care about the ability of the remaining network to continue to run. After cascading failure, the remaining network may be unconnected 10 , which may consist of some subgraphs or isolated nodes. The traffic can flow from a node to another node within the subgraph, while it cannot flow between two subgraphs and the isolated nodes do not have the ability to send and receive traffic.…”
Section: Dynamic Evaluation Of Node Centralitymentioning
confidence: 99%