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An Evolutionary Model Of Social Network Structure Driven By Information Interaction

Author

Listed:
  • FUZHONG NIAN

    (School of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, P. R. China)

  • JIANJIAN ZHOU

    (School of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, P. R. China)

  • YINUO QIAN

    (School of Control Science and Engineering, Tiangong University, Tianjin 300387, P. R. China)

Abstract

The interaction of information and the evolution of network structure are inseparable. In order to construct social network evolution and information propagation models that better fit real-world scenarios, this paper proposes a social network structure evolution model driven by changes in the strength of relationships between individuals through their information interactions with each other. During the evolution process of the network, information interaction between individuals is also influenced by the network structure. Therefore, we improve traditional propagation models and construct an information propagation model with dynamic propagation rates. The proposed model is used to simulate both the spread of information and the evolution of network structures in real social networks. Finally, simulation results are compared to real-world data, demonstrating the effectiveness and rationality of the proposed model.

Suggested Citation

  • Fuzhong Nian & Jianjian Zhou & Yinuo Qian, 2023. "An Evolutionary Model Of Social Network Structure Driven By Information Interaction," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 26(04n05), pages 1-23, August.
    • Handle: RePEc:wsi:acsxxx:v:26:y:2023:i:04n05:n:s0219525923500108
    DOI: 10.1142/S0219525923500108
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