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How information influences an individual opinion evolution


  • Deng, Lei
  • Liu, Yun
  • Zeng, Qing-An


We propose an opinion formation model which takes an individual’s opinion transition probability into consideration. In the model, each individual updates his/her opinion based on the probability of reception and acceptance. We describe the process of opinion evolution by using individual’s awareness Wi, message intensity a0 and message credibility b0. Results show that if a message’s view stays below 1 and its credibility takes a value around 2, it can win the trust of individuals with a high value of awareness (Wi≥1), leading the public opinion to support the message’s own view within 100 steps and then decide the opinion formation. The final average opinion is closely related to the first message’s credibility and individual’s awareness.

Suggested Citation

  • Deng, Lei & Liu, Yun & Zeng, Qing-An, 2012. "How information influences an individual opinion evolution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(24), pages 6409-6417.
  • Handle: RePEc:eee:phsmap:v:391:y:2012:i:24:p:6409-6417 DOI: 10.1016/j.physa.2012.07.037

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    References listed on IDEAS

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    Cited by:

    1. Cheng, Zhichao & Xiong, Yang & Xu, Yiwen, 2016. "An opinion diffusion model with decision-making groups: The influence of the opinion’s acceptability," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 429-438.
    2. Huang, Chuanchao & Hu, Bin & Jiang, Guoyin & Yang, Ruixian, 2016. "Modeling of agent-based complex network under cyber-violence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 399-411.


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