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Binary opinion dynamics on signed networks based on Ising model

Author

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  • Li, Lingbo
  • Fan, Ying
  • Zeng, An
  • Di, Zengru

Abstract

The evolution dynamics of public opinion is a hot issue in complex networks research. And the Ising model is the earliest classic dynamic model of public opinion. Although signed networks can describe amicable and antagonistic relationship in complex real-world systems accurately, and the research on dynamic process of public opinion evolution on signed networks is valuable, few people have paid attention to that. Previous methods for opinion diffusion cannot be applied to signed network directly, which ignore the important information contained in the negative edges. In this paper, the binary opinion dynamics on signed networks has been modeled by aid of the Ising model. The model is applied both to the synthetic and real-world signed networks. We observe that the proportion and distribution of negative edges have a fundamental effect on the evolutionary result of public opinion on signed networks. There exists the critical ratio. When the proportion of negative edges in the network exceeds the critical ratio, there appears to be a completely different evolutionary result, and the distribution of negative edges affects the value of the critical ratio. In addition, we study the network structural balance in the evolutionary process of opinion on signed networks as complementary. Our findings can deepen the understanding of the evolutionary process of binary opinion in real signed social systems.

Suggested Citation

  • Li, Lingbo & Fan, Ying & Zeng, An & Di, Zengru, 2019. "Binary opinion dynamics on signed networks based on Ising model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 433-442.
    • Handle: RePEc:eee:phsmap:v:525:y:2019:i:c:p:433-442
    DOI: 10.1016/j.physa.2019.03.011
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    References listed on IDEAS

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    1. Muneer A. Sumour & M. M. Shabat, 2005. "Monte Carlo Simulation Of Ising Model On Directed Barabasi–Albert Network," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 16(04), pages 585-589.
    2. Zhou, Jianlin & Li, Lingbo & Zeng, An & Fan, Ying & Di, Zengru, 2018. "Random walk on signed networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 558-566.
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    Citations

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    Cited by:

    1. Zhenpeng Li & Ling Ma & Simin Chi & Xu Qian, 2022. "Structural Balance under Weight Evolution of Dynamic Signed Network," Mathematics, MDPI, vol. 10(9), pages 1-21, April.
    2. Baldassarri, Simone & Gallo, Anna & Jacquier, Vanessa & Zocca, Alessandro, 2023. "Ising model on clustered networks: A model for opinion dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 623(C).

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