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Effect of users’ opinion evolution on information diffusion in online social networks

Author

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  • Zhu, Hengmin
  • Kong, Yuehan
  • Wei, Jing
  • Ma, Jing

Abstract

The process of topic propagation always interweaves information diffusion and opinion evolution, but most previous works studied the models of information diffusion and opinion evolution separately, and seldom focused on their interaction of each other. To shed light on the effect of users’ opinion evolution on information diffusion in online social networks, we proposed a model which incorporates opinion evolution into the process of topic propagation. Several real topics propagating on Sina Microblog were collected to analyze individuals’ propagation intentions, and different propagation intentions were considered in the model. The topic propagation was simulated to explore the impact of different opinion distributions and intervention with opposite opinion on information diffusion. Results show that the topic with one-sided opinions can spread faster and more widely, and intervention with opposite opinion is an effective measure to guide the topic propagation. The earlier to intervene, the more effectively the topic propagation would be guided.

Suggested Citation

  • Zhu, Hengmin & Kong, Yuehan & Wei, Jing & Ma, Jing, 2018. "Effect of users’ opinion evolution on information diffusion in online social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 2034-2045.
    • Handle: RePEc:eee:phsmap:v:492:y:2018:i:c:p:2034-2045
    DOI: 10.1016/j.physa.2017.11.121
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    Citations

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    Cited by:

    1. Fu, Minglei & Feng, Jun & Lande, Dmytro & Dmytrenko, Oleh & Manko, Dmytro & Prakapovich, Ryhor, 2021. "Dynamic model with super spreaders and lurker users for preferential information propagation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 561(C).
    2. Diego Mayordomo-Martínez & Juan M. Carrillo-de-Gea & Ginés García-Mateos & José A. García-Berná & José Luis Fernández-Alemán & Saúl Rosero-López & Salvador Parada-Sarabia & Manuel García-Hernández, 2019. "Sustainable Accessibility: A Mobile App for Helping People with Disabilities to Search Accessible Shops," IJERPH, MDPI, vol. 16(4), pages 1-18, February.
    3. Shen, Han & Tu, Lilan & Guo, Yifei & Chen, Juan, 2022. "The influence of cross-platform and spread sources on emotional information spreading in the 2E-SIR two-layer network," Chaos, Solitons & Fractals, Elsevier, vol. 165(P2).
    4. Akyol, Sinem & Alatas, Bilal, 2020. "Sentiment classification within online social media using whale optimization algorithm and social impact theory based optimization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    5. Abul Hasanat Md. Fazle Rabbi, 2023. "Enhancing Community Engagement and Outreach: Strategies for Information Dissemination at the Bangladesh National Museum," International Journal of Science and Business, IJSAB International, vol. 29(1), pages 92-103.
    6. Munjal, Puja & Kumar, Lalit & Kumar, Sandeep & Banati, Hema, 2019. "Evidence of Ostwald Ripening in opinion driven dynamics of mutually competitive social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 522(C), pages 182-194.

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