文献类型： 外文期刊
作者： Wang, Wenting 1 ; Zhou, Xingxing 2 ; Zhang, Minmin 4 ;
作者机构： 1.Shenzhen Technol Univ, Coll Math, Shenzhen, Peoples R China
2.Guangdong Acad Agr Sci, Guangzhou, Peoples R China
3.Guangzhou Jinying Agritech Incubate Co Ltd, Guangzhou, Peoples R China
4.Northeastern Univ, Coll Engn, Boston, MA 02115 USA
关键词： Complex Networks; Master Stability Function; Synchronization; Spectral Analysis; Ordinary Differential Equation
期刊名称：2020 7TH IEEE INTERNATIONAL CONFERENCE ON CYBER SECURITY AND CLOUD COMPUTING (CSCLOUD 2020)/2020 6TH IEEE INTERNATIONAL CONFERENCE ON EDGE COMPUTING AND SCALABLE CLOUD (EDGECOM 2020)
ISSN：
年卷期： 2020 年
页码：
收录情况： SCI
摘要： In this paper, we provpose an analytical framework to control the synchronization on different structures of networks. The algebraic connectivity of the Laplacian matrix is used to replace the second Lyapunov exponent in the Master Stability Function. The spectral analysis is introduced to determine the ability of the network to support the synchronization. The relation between the average path length and the Laplacian spectrum is discussed to investigate the method to adjust the links of the networks towards faster synchronization. The opinion dynamics is used as a typical kind of synchronization for the experimental study.
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