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A research of higher-order network emotional phase transitions

Author

Listed:
  • Fuzhong Nian

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

  • Zhang Duan

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

  • Chongpei Wang

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

Abstract

This paper explores the law of emotion transmission on the social Internet. By applying higher-order network theory, ER random networks are reconstructed and higher-order network structures with multiple interaction points are generated. The I-state of the SI model is extended to set up the propagation rules of emotions based on higher-order networks. Concepts such as sentiment recession rate are introduced to make sentiment propagate through different simplexes, so as to obtain the propagation rules of higher-order networks. Qualitative analysis of emotional changes during the propagation process verifies the phase transition phenomenon of emotions in the network. By comparing simulated results with actual data, we demonstrate the accuracy of our higher-order network-based emotion propagation model in reflecting real-world trends and outcomes. The study also explores the effects of factors such as the initial proportion of extreme emotions on emotion propagation. This study provides valuable insights into understanding the operation of complex systems and offers important implications for government predictions of opinion development.

Suggested Citation

  • Fuzhong Nian & Zhang Duan & Chongpei Wang, 2025. "A research of higher-order network emotional phase transitions," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 36(05), pages 1-18, May.
  • Handle: RePEc:wsi:ijmpcx:v:36:y:2025:i:05:n:s0129183124502279
    DOI: 10.1142/S0129183124502279
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