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Effects of mass media on opinion spreading in the Sznajd sociophysics model

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  • Crokidakis, Nuno

Abstract

In this work we consider the influence of mass media in the dynamics of the two-dimensional Sznajd model. This influence acts as an external field, and it is introduced in the model by means of a probability p of the agents to follow the media opinion. We performed Monte Carlo simulations on square lattices with different sizes, and our numerical results suggest a change on the critical behavior of the model, with the absence of the usual phase transition for p>∼0.18. Another effect of the probability p is to decrease the average relaxation times τ, that are log-normally distributed, as in the standard model. In addition, the τ values depend on the lattice size L in a power-law form, τ∼Lα, where the power-law exponent depends on the probability p.

Suggested Citation

  • Crokidakis, Nuno, 2012. "Effects of mass media on opinion spreading in the Sznajd sociophysics model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1729-1734.
  • Handle: RePEc:eee:phsmap:v:391:y:2012:i:4:p:1729-1734
    DOI: 10.1016/j.physa.2011.11.038
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    Citations

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    Cited by:

    1. Shang, Lihui & Zhao, Mingming & Ai, Jun & Su, Zhan, 2021. "Opinion evolution in the Sznajd model on interdependent chains," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).
    2. Cheng, Chun & Luo, Yun & Yu, Changbin, 2020. "Dynamic mechanism of social bots interfering with public opinion in network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 551(C).
    3. Mehrdad Agha Mohammad Ali Kermani & Reza Ghesmati & Masoud Jalayer, 2018. "Opinion-Aware Influence Maximization: How To Maximize A Favorite Opinion In A Social Network?," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 21(06n07), pages 1-27, September.
    4. Pinto, Sebastián & Balenzuela, Pablo & Dorso, Claudio O., 2016. "Setting the agenda: Different strategies of a Mass Media in a model of cultural dissemination," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 378-390.
    5. 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).
    6. Qesmi, Redouane, 2021. "Hopf bifurcation in an opinion model with state-dependent delay," Chaos, Solitons & Fractals, Elsevier, vol. 153(P2).
    7. Si, Xia-Meng & Wang, Wen-Dong & Zhai, Chun-Qing & Ma, Yan, 2017. "A topic evolution model with sentiment and selective attention," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 480-491.
    8. María Cecilia Gimenez & Luis Reinaudi & Ana Pamela Paz-García & Paulo Marcelo Centres & Antonio José Ramirez-Pastor, 2021. "Opinion evolution in the presence of constant propaganda: homogeneous and localized cases," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 94(1), pages 1-11, January.
    9. Zhu, Hou & Hu, Bin, 2017. "Agent based simulation on the process of human flesh search—From perspective of knowledge and emotion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 71-80.
    10. Lee, Woosub & Yang, Seong-Gyu & Kim, Beom Jun, 2022. "The effect of media on opinion formation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 595(C).
    11. Pinto, Sebastián & Albanese, Federico & Dorso, Claudio O. & Balenzuela, Pablo, 2019. "Quantifying time-dependent Media Agenda and public opinion by topic modeling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 614-624.
    12. Tiwari, Mukesh & Yang, Xiguang & Sen, Surajit, 2021. "Modeling the nonlinear effects of opinion kinematics in elections: A simple Ising model with random field based study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    13. Haibo Hu & Jonathan J. H. Zhu, 2017. "Social networks, mass media and public opinions," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(2), pages 393-411, July.

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