Some characteristics of supernetworks based on unified hybrid network theory framework

Qiang Liu (), Jin-Qing Fang and Yong Li ()
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Qiang Liu: Department of Nuclear Technology Application, China Institute of Atomic Energy, Beijing 102413, P. R. China
Jin-Qing Fang: Department of Nuclear Technology Application, China Institute of Atomic Energy, Beijing 102413, P. R. China
Yong Li: Department of Nuclear Technology Application, China Institute of Atomic Energy, Beijing 102413, P. R. China

International Journal of Modern Physics C (IJMPC), 2017, vol. 28, issue 05, 1-17

Abstract: Comparing with single complex networks, supernetworks are more close to the real world in some ways, and have become the newest research hot spot in the network science recently. Some progresses have been made in the research of supernetworks, but the theoretical research method and complex network characteristics of supernetwork models are still needed to further explore. In this paper, we propose three kinds of supernetwork models with three layers based on the unified hybrid network theory framework (UHNTF), and introduce preferential and random linking, respectively, between the upper and lower layers. Then we compared the topological characteristics of the single networks with the supernetwork models. In order to analyze the influence of the interlayer edges on network characteristics, the cross-degree is defined as a new important parameter. Then some interesting new phenomena are found, the results imply this supernetwork model has reference value and application potential.

Keywords: Supernetwork; UHNTF; topological characteristic; hybrid ratio; cross-degree (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1142/S0129183117500577

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