中国物理B ›› 2025, Vol. 34 ›› Issue (12): 120101-120101.doi: 10.1088/1674-1056/adf17a

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UHNPR: A competitive opinion information dissemination model for online social hypernetworks

Changcai Tan(谭昌彩)1, Xin Yan(严馨)1,†, Hongbin Wang(王红斌)1, Shengxiang Gao(高盛祥)2, and Zhongying Deng(邓忠莹)1   

  1. 1 Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650504, China;
    2 Yunnan Key Laboratory of Artificial Intelligence, Kunming University of Science and Technology, Kunming 650504, China
  • 收稿日期:2025-02-11 修回日期:2025-07-03 接受日期:2025-07-18 发布日期:2025-11-25
  • 通讯作者: Xin Yan E-mail:xinyan@kust.edu.cn
  • 基金资助:
    The work was supported by Yunnan High-tech Industry Development Project (Grant No. 201606), Yunnan Provincial Major Science and Technology Special Plan Projects (Grant Nos. 202103AA080015 and 202002AD080001-5), Yunnan Basic Research Project (Grant No. 202001AS070014), and Talents and Platform Program of Science and Technology of Yunnan (Grant No. 202105AC160018).

UHNPR: A competitive opinion information dissemination model for online social hypernetworks

Changcai Tan(谭昌彩)1, Xin Yan(严馨)1,†, Hongbin Wang(王红斌)1, Shengxiang Gao(高盛祥)2, and Zhongying Deng(邓忠莹)1   

  1. 1 Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650504, China;
    2 Yunnan Key Laboratory of Artificial Intelligence, Kunming University of Science and Technology, Kunming 650504, China
  • Received:2025-02-11 Revised:2025-07-03 Accepted:2025-07-18 Published:2025-11-25
  • Contact: Xin Yan E-mail:xinyan@kust.edu.cn
  • About author:2025-120101-250190.pdf
  • Supported by:
    The work was supported by Yunnan High-tech Industry Development Project (Grant No. 201606), Yunnan Provincial Major Science and Technology Special Plan Projects (Grant Nos. 202103AA080015 and 202002AD080001-5), Yunnan Basic Research Project (Grant No. 202001AS070014), and Talents and Platform Program of Science and Technology of Yunnan (Grant No. 202105AC160018).

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摘要： With the rapid development of the internet, the dissemination of public opinion in online social networks has become increasingly complex. Existing dissemination models rarely consider group phenomena and the simultaneous spread of competing public opinion information in online social networks. This paper introduces the UHNPR information dissemination model to study the dynamic spread and interaction of positive and negative public opinion information in hypernetworks. To improve the accuracy of modeling of information dissemination, we revise the traditional assumptions of constant propagation and decay rates by redefining these rates based on factors that influence the spread of public opinion information. Subsequently, we validate the effectiveness of the UHNPR model using numerical simulations and analyze the impact of factors such as authority effect, user intimacy, information content and information timeliness on the spread of public opinion, providing corresponding suggestions for public opinion control. Our research results demonstrate that this model outperforms the SIR, SEIR and SEIDR models in describing public opinion propagation in real social networks. Compared with complex networks, information spreads faster and more extensively in hypernetworks.

关键词: online opinion, online social networks, competitive opinion information, hypernetwork

Abstract: With the rapid development of the internet, the dissemination of public opinion in online social networks has become increasingly complex. Existing dissemination models rarely consider group phenomena and the simultaneous spread of competing public opinion information in online social networks. This paper introduces the UHNPR information dissemination model to study the dynamic spread and interaction of positive and negative public opinion information in hypernetworks. To improve the accuracy of modeling of information dissemination, we revise the traditional assumptions of constant propagation and decay rates by redefining these rates based on factors that influence the spread of public opinion information. Subsequently, we validate the effectiveness of the UHNPR model using numerical simulations and analyze the impact of factors such as authority effect, user intimacy, information content and information timeliness on the spread of public opinion, providing corresponding suggestions for public opinion control. Our research results demonstrate that this model outperforms the SIR, SEIR and SEIDR models in describing public opinion propagation in real social networks. Compared with complex networks, information spreads faster and more extensively in hypernetworks.

Key words: online opinion, online social networks, competitive opinion information, hypernetwork

中图分类号:  (Science and society)

  • 01.75.+m
87.23.Ge (Dynamics of social systems) 64.60.aq (Networks) 88.20.Y- (Social issues)