Ranking the spreading ability of nodes in network core

Xiao-Lei Tong, Jian-Guo Liu (), Jiang-Pan Wang, Qiang Guo and Jing Ni
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Xiao-Lei Tong: Research Center of Complex Systems Science, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China
Jian-Guo Liu: Research Center of Complex Systems Science, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China
Jiang-Pan Wang: Research Center of Complex Systems Science, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China
Qiang Guo: Research Center of Complex Systems Science, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China
Jing Ni: Research Center of Complex Systems Science, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China

International Journal of Modern Physics C (IJMPC), 2015, vol. 26, issue 05, 1-8

Abstract: Ranking nodes by their spreading ability in complex networks is of vital significance to better understand the network structure and more efficiently spread information. Thek-shell decomposition method could identify the most influential nodes, namely network core, with the sameksvalues regardless to their different spreading influence. In this paper, we present an improved method based on thek-shell decomposition method and closeness centrality (CC) to rank the node spreading influence of the network core. Experiment results on the data from the scientific collaboration network and U.S. aviation network show that the accuracy of the presented method could be increased by 31% and 45% than the one obtained by the degreek, 32% and 31% than the one by the betweenness.

Keywords: Network core; information spreading; spreading influence; 89.20.Hh; 89.75.Hc; 05.70.Ln (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (1)

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DOI: 10.1142/S012918311550059X

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