Acta Physica Sinica · 2013 · 38 citations · 15 references
EngineeringNetwork AnalysisScale-free NetworkNetwork DynamicComputational Social ScienceNetwork EvolutionData ScienceNetwork ComplexityInformation PropagationCombinatorial OptimizationInfluential NodesSocial Network AnalysisComplex NetworksData PrivacyK-shell DecompositionComputer ScienceMinimum K-shell ValueNetwork TheoryNetwork ScienceGraph TheoryNetwork AlgorithmBusinessK-shell Decomposition MethodInformation DiffusionLarge-scale Network
The K-shell decomposition for identifying influential nodes plays an important role in analyzing the spreading performance in complex networks, which generates lots of nodes with the smallest K-shell value. The spreading influences of these nodes cannot be distinguished by the K-shell decomposition method, as well as the degree and betweeness indices. In this paper, by taking into account the K-shell information of the target node, we develop a new method to identify the node spreading ability with the minimum K-shell value. The experimental results for pretty good privacy and autonomous system networks show that the presented method could generate more accurate spreading list than the degree and betweeness indices.
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A Set of Measures of Centrality Based on Betweenness
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Identification of influential spreaders in complex networks
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