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Collaborative Computing: Networking, Applications and Worksharing. 18th EAI International Conference, CollaborateCom 2022, Hangzhou, China, October 15-16, 2022, Proceedings, Part I

Research Article

An Approach to the Synchronization of Dynamic Complex Network Combining Degree Distribution and Eigenvector Criteria

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BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-24383-7_16,
        author={Rong Xie and Yuchen Wang and Mengting Jiang},
        title={An Approach to the Synchronization of Dynamic Complex Network Combining Degree Distribution and Eigenvector Criteria},
        proceedings={Collaborative Computing: Networking, Applications and Worksharing. 18th EAI International Conference, CollaborateCom 2022, Hangzhou, China, October 15-16, 2022, Proceedings, Part I},
        proceedings_a={COLLABORATECOM},
        year={2023},
        month={1},
        keywords={Dynamic complex network Synchronization Degree distribution Eigenvector criterion Degree Distribution Connection (DDC) Enhanced Synchronization Small-World (ESSW)},
        doi={10.1007/978-3-031-24383-7_16}
    }
    
  • Rong Xie
    Yuchen Wang
    Mengting Jiang
    Year: 2023
    An Approach to the Synchronization of Dynamic Complex Network Combining Degree Distribution and Eigenvector Criteria
    COLLABORATECOM
    Springer
    DOI: 10.1007/978-3-031-24383-7_16
Rong Xie1,*, Yuchen Wang1, Mengting Jiang1
  • 1: School of Computer Science, Wuhan University
*Contact email: xierong@whu.edu.cn

Abstract

Synchronization is an important behavior of a dynamic complex network. Traditional methods, like changing network structure, enhancing coupling capability and utilizing external control strategies, etc., cannot achieve complete network synchronization. As it is easier for the small-world networks to achieve topology synchronization than regular networks and random networks, from the viewpoint of the topology of complex networks, we propose the method of Degree Distribution Connection (DDC) for balancing the degree distribution of nodes in a network. And further, we propose the method of Enhanced Synchronization Small-World (ESSW) for constructing the network combining degree distribution and eigenvector criteria, deleting connecting edge by preferentially selecting the node with a larger degree and reconnecting the edge according to the eigenvector criterion. The experimental results show that our solution is effective that can solve the network synchronization problem well by improving network topology.

Keywords
Dynamic complex network Synchronization Degree distribution Eigenvector criterion Degree Distribution Connection (DDC) Enhanced Synchronization Small-World (ESSW)
Published
2023-01-25
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-24383-7_16
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