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On the control of opinion dynamics in social networks

Author

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  • Liu, Zhihong
  • Ma, Jianfeng
  • Zeng, Yong
  • Yang, Li
  • Huang, Qiping
  • Wu, Hongliang

Abstract

This paper presents a framework to analyze the controllability of opinion dynamics in social networks using DeGroot model (DeGroot, 1974). We show how the opinion, or attitude about some common questions of interest in a population can be controlled by a committed node who consistently proselytizes the opposing opinion and is immune to influence. Some criteria are established to guarantee that opinion dynamics of networks can be perfectly or partially controlled. We also find that the opinion fluctuation is determined by the smallest negative eigenvalue of an influence matrix.

Suggested Citation

  • Liu, Zhihong & Ma, Jianfeng & Zeng, Yong & Yang, Li & Huang, Qiping & Wu, Hongliang, 2014. "On the control of opinion dynamics in social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 409(C), pages 183-198.
    • Handle: RePEc:eee:phsmap:v:409:y:2014:i:c:p:183-198
    DOI: 10.1016/j.physa.2014.04.037
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    Citations

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    Cited by:

    1. Li, Tingyu & Zhu, Hengmin, 2020. "Effect of the media on the opinion dynamics in online social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 551(C).
    2. Ghezelbash, Ehsan & Yazdanpanah, Mohammad Javad & Asadpour, Masoud, 2019. "Polarization in cooperative networks through optimal placement of informed agents," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(C).
    3. Vaidya, Tushar & Chotibut, Thiparat & Piliouras, Georgios, 2021. "Broken detailed balance and non-equilibrium dynamics in noisy social learning models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 570(C).
    4. Wäsche, Hagen, 2015. "Interorganizational cooperation in sport tourism: A social network analysis," Sport Management Review, Elsevier, vol. 18(4), pages 542-554.

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