Characterizing core–periphery structure of complex network by h-core and fingerprint curve

Simon S. Li, Adam Y. Ye, Eric P. Qi, H. Eugene Stanley and Fred Y. Ye

Physica A: Statistical Mechanics and its Applications, 2018, vol. 492, issue C, 1206-1215

Abstract: It is proposed that the core–periphery structure of complex networks can be simulated by h-cores and fingerprint curves. While the features of core structure are characterized by h-core, the features of periphery structure are visualized by rose or spiral curve as the fingerprint curve linking to entire-network parameters. It is suggested that a complex network can be approached by h-core and rose curves as the first-order Fourier-approach, where the core–periphery structure is characterized by five parameters: network h-index, network radius, degree power, network density and average clustering coefficient. The simulation looks Fourier-like analysis.

Keywords: Core–periphery structure; h-core; Fingerprint curve; Rose curve; Fourier-like analysis; Complex network (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:492:y:2018:i:c:p:1206-1215

DOI: 10.1016/j.physa.2017.11.048

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