IDEAS home Printed from https://ideas.repec.org/a/spr/jknowl/v16y2025i1d10.1007_s13132-024-02059-9.html
   My bibliography  Save this article

Analyzing the Complexity of Public Opinion Evolution on Weibo: A Super Network Model

Author

Listed:
  • Ning Li

    (Fujian Normal University)

Abstract

Social media networks play a crucial role in encouraging the emergence and development of public opinion (PO) events due to the rapid advancement in social networking. Weibo is a brand new mode of communication in China. The growth of Weibo rose due to the mix of technological improvement and socially significant events. This study contributes to investigating the complexity of PO dissemination and the evolution of Weibo in China. To achieve this, a super network model is constructed. The study starts by introducing a media-influenced dissemination model that takes into account viewpoint similarity. An evolutionary model is then developed to explore the interaction among PO, environmental information, netizens, and opinion leaders. The study also considers the role of Weibo.com platform characteristics in information acquisition. To simulate the overall pattern and cyclic characteristics of communication, the Net logo is utilized as a tool. Hypothesis testing is employed to validate the proposed hypothesis. The novelty of the study lies in analyzing the dynamic evolution of public sentiment on Weibo. Real-life PO events are analyzed to identify the factors that affect opinion evolution. Based on these findings, the study proposes guidance strategies and specific feasible schemes to manage real crises. The study suggests that the overall emotional characteristics of Chinese netizens and the existence of network promoters are considered, bringing the model closer to the authentic Weibo PO scenario.

Suggested Citation

  • Ning Li, 2025. "Analyzing the Complexity of Public Opinion Evolution on Weibo: A Super Network Model," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(1), pages 3404-3439, March.
  • Handle: RePEc:spr:jknowl:v:16:y:2025:i:1:d:10.1007_s13132-024-02059-9
    DOI: 10.1007/s13132-024-02059-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13132-024-02059-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s13132-024-02059-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Shupeng Huang & Andrew Potter & Daniel Eyers, 2020. "Social media in operations and supply chain management: State-of-the-Art and research directions," International Journal of Production Research, Taylor & Francis Journals, vol. 58(6), pages 1893-1925, March.
    2. Wang, Zhen & Xie, Yingkang & Lu, Junwei & Li, Yuxia, 2019. "Stability and bifurcation of a delayed generalized fractional-order prey–predator model with interspecific competition," Applied Mathematics and Computation, Elsevier, vol. 347(C), pages 360-369.
    3. Furong Wan & Jianxin Li, 2024. "Navigating the Digital Age: City Branding in the Era of Social Media and Digital Transformation," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(4), pages 16666-16699, December.
    4. Daniel-Rareș Obadă & Dan-Cristian Dabija, 2022. "“In Flow”! Why Do Users Share Fake News about Environmentally Friendly Brands on Social Media?," IJERPH, MDPI, vol. 19(8), pages 1-26, April.
    5. Sunil Kumar & Ali Ahmadian & Ranbir Kumar & Devendra Kumar & Jagdev Singh & Dumitru Baleanu & Mehdi Salimi, 2020. "An Efficient Numerical Method for Fractional SIR Epidemic Model of Infectious Disease by Using Bernstein Wavelets," Mathematics, MDPI, vol. 8(4), pages 1-22, April.
    6. Gerry Edgar & Omid Ali Kharazmi, 2023. "Systems Evaluation of University-Industry Collaboration Efficiency in Iran: Current Situation and Proposed Policy Framework," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(2), pages 645-675, June.
    7. Jingxue Wang & Chengjun Wang & Yang Li, 2024. "Unlocking Creativity: The Impact of Inventors’ Knowledge Complementarity and Substitutability in Moderating Structural Holes," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(4), pages 17847-17880, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Schmidt, Christoph G. & Wuttke, David A. & Heese, H. Sebastian & Wagner, Stephan M., 2023. "Antecedents of public reactions to supply chain glitches," International Journal of Production Economics, Elsevier, vol. 259(C).
    2. Jianguang Zhu & Kai Li & Binbin Hao, 2019. "Image Restoration by Second-Order Total Generalized Variation and Wavelet Frame Regularization," Complexity, Hindawi, vol. 2019, pages 1-16, March.
    3. Wu, Tianyu & Huang, Xia & Chen, Xiangyong & Wang, Jing, 2020. "Sampled-data H∞ exponential synchronization for delayed semi-Markov jump CDNs: A looped-functional approach," Applied Mathematics and Computation, Elsevier, vol. 377(C).
    4. Wang, Xinhe & Lu, Junwei & Wang, Zhen & Li, Yuxia, 2020. "Dynamics of discrete epidemic models on heterogeneous networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 539(C).
    5. Ma, Tingting & Meng, Xinzhu & Hayat, Tasawar & Hobiny, Aatef, 2021. "Stability analysis and optimal harvesting control of a cross-diffusion prey-predator system," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).
    6. Ghanbari, Behzad, 2021. "On detecting chaos in a prey-predator model with prey’s counter-attack on juvenile predators," Chaos, Solitons & Fractals, Elsevier, vol. 150(C).
    7. Muhammad Bilal & Zhao Xicang & Wu Jiying & Jan Muhammad Sohu & Sadaf Akhtar & Muhammad Iatzaz Ul Hassan, 2025. "Digital Transformation and SME Innovation: A Comprehensive Analysis of Mediating and Moderating Effects," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(1), pages 1153-1182, March.
    8. Zhang, Shuo & Liu, Lu & Xue, Dingyu, 2020. "Nyquist-based stability analysis of non-commensurate fractional-order delay systems," Applied Mathematics and Computation, Elsevier, vol. 377(C).
    9. Hansin Bilgili & Chwen Sheu, 2022. "A Bibliometric Review of the Mathematics Journal," Mathematics, MDPI, vol. 10(15), pages 1-17, July.
    10. Juan Liu & Jie Hu & Peter Yuen & Fuzhong Li, 2022. "A Seasonally Competitive M-Prey and N-Predator Impulsive System Modeled by General Functional Response for Integrated Pest Management," Mathematics, MDPI, vol. 10(15), pages 1-15, July.
    11. Chen, Xi & Wong, Tse Chiu, 2021. "Application of social media data in supply chain management : A systematic review," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Ringle, Christian M. & Blecker, Thorsten (ed.), Adapting to the Future: How Digitalization Shapes Sustainable Logistics and Resilient Supply Chain Management. Proceedings of the Hamburg Internationa, volume 31, pages 499-523, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    12. Shuai Li & Chengdai Huang & Xinyu Song, 2019. "Bifurcation Based-Delay Feedback Control Strategy for a Fractional-Order Two-Prey One-Predator System," Complexity, Hindawi, vol. 2019, pages 1-13, April.
    13. Dai, Mingcheng & Huang, Zhengguo & Xia, Jianwei & Meng, Bo & Wang, Jian & Shen, Hao, 2019. "Non-fragile extended dissipativity-based state feedback control for 2-D Markov jump delayed systems," Applied Mathematics and Computation, Elsevier, vol. 362(C), pages 1-1.
    14. Sarangi, B.P. & Raw, S.N., 2023. "Dynamics of a spatially explicit eco-epidemic model with double Allee effect," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 206(C), pages 241-263.
    15. Yang, Chengyu & Li, Fei & Kong, Qingkai & Chen, Xiangyong & Wang, Jian, 2021. "Asynchronous fault-tolerant control for stochastic jumping singularly perturbed systems: An H∞ sliding mode control scheme," Applied Mathematics and Computation, Elsevier, vol. 389(C).
    16. He, Hua & Wang, Wendi, 2024. "Asymptotically periodic solutions of fractional order systems with applications to population models," Applied Mathematics and Computation, Elsevier, vol. 476(C).
    17. Seddigh, Mohammad Reza & Targholizadeh, Aida & Shokouhyar, Sajjad & Shokoohyar, Sina, 2023. "Social media and expert analysis cast light on the mechanisms of underlying problems in pharmaceutical supply chain: An exploratory approach," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    18. Sachin Modgil & Rohit Kumar Singh & Shivam Gupta & Denis Dennehy, 2024. "A Confirmation Bias View on Social Media Induced Polarisation During Covid-19," Information Systems Frontiers, Springer, vol. 26(2), pages 417-441, April.
    19. Liang, Xingyue & Xia, Jianwei & Chen, Guoliang & Zhang, Huasheng & Wang, Zhen, 2019. "Dissipativity-based sampled-data control for fuzzy Markovian jump systems," Applied Mathematics and Computation, Elsevier, vol. 361(C), pages 552-564.
    20. Ghosh, Uttam & Pal, Swadesh & Banerjee, Malay, 2021. "Memory effect on Bazykin’s prey-predator model: Stability and bifurcation analysis," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:jknowl:v:16:y:2025:i:1:d:10.1007_s13132-024-02059-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.