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Traffic dynamics on homogeneous networks with community structure

Author

Listed:
  • Jinlong Ma

    (School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, P. R. China)

  • Zishuo An

    (School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, P. R. China)

  • Yi Zhou

    (School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, P. R. China)

  • Yi Zhang

    (School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, P. R. China)

  • Xiangyang Xu

    (School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, P. R. China)

  • Sufeng Li

    (School of Economics, Hebei GEO University, Shijiazhuang 050031, P. R. China)

Abstract

In complex networks, how topology structures influence the traffic dynamics on networks is a hot topic. The existence of structure within communities may affect the transmission of data packets in the network. In this paper, we investigate the impact of community structure on traffic dynamics in random networks which are homogeneous. It is found that three key factors influence traffic capacity in such community networks: community number, community strength, and average node degree. The increase of average node degree increases traffic capacity, while the increase of community number and community strength decreases traffic capacity.

Suggested Citation

  • Jinlong Ma & Zishuo An & Yi Zhou & Yi Zhang & Xiangyang Xu & Sufeng Li, 2022. "Traffic dynamics on homogeneous networks with community structure," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 33(04), pages 1-13, April.
    • Handle: RePEc:wsi:ijmpcx:v:33:y:2022:i:04:n:s0129183122500486
    DOI: 10.1142/S0129183122500486
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    Cited by:

    1. Zhu, Hongmiao & Jin, Zhen & Yan, Xin, 2022. "A dynamics model of two kinds of knowledge transmission on duplex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P1).

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