Characterizing core–periphery structure of complex network by h-core and fingerprint curve
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS(2018)
摘要
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. (C) 2017 Elsevier B.V. All rights reserved.
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关键词
Core-periphery structure,h-core,Fingerprint curve,Rose curve,Fourier-like analysis,Complex network
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