Fuzzy nodes recognition based on spectral clustering in complex networks

Yang Ma, Guangquan Cheng, Zhong Liu and Fuli Xie

Physica A: Statistical Mechanics and its Applications, 2017, vol. 465, issue C, 792-797

Abstract: In complex networks, information regarding the nodes is usually incomplete because of the effects of interference, noise, and other factors. This results in parts of the network being blurred and some information having an unknown source. In this paper, a spectral clustering algorithm is used to identify fuzzy nodes and solve network reconstruction problems. By changing the fuzzy degree of placeholders, we achieve various degrees of credibility and accuracy for the restored network. Our approach is verified by experiments using open source datasets and simulated data.

Keywords: Complex network; Network reconstruction; Fuzzy nodes; Spectral clustering (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:465:y:2017:i:c:p:792-797

DOI: 10.1016/j.physa.2016.08.022

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