IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v197y2025ics0960077925004928.html
   My bibliography  Save this article

Consensus effects of social media synthetic influence groups on scale-free networks

Author

Listed:
  • Porciúncula, Giuliano G.
  • Sena-Junior, Marcone I.
  • Pereira, Luiz Felipe C.
  • Vilela, André L.M.

Abstract

Online platforms for social interactions are an essential part of modern society. With the advance of technology and the rise of algorithms and AI, content is now filtered systematically, facilitating the formation of filter bubbles. This work investigates the social consensus under limited visibility in a two-state majority-vote model on Barabási–Albert scale-free networks. In the consensus evolution, each individual assimilates the opinion of the majority of their neighbors with probability 1−q and disagrees with chance q, known as the noise parameter. We define the visibility parameter V as the probability of an individual considering the opinion of a neighbor at a given interaction. The parameter V enables us to model the limited visibility phenomenon that produces synthetic neighborhoods in online interactions. We employ Monte Carlo simulations and finite-size scaling analysis to obtain the critical noise parameter as a function of the visibility V and the growth parameter z. We find the critical exponents β/ν̄, γ/ν̄ and 1/ν̄ of the system and validate the unitary relation for complex networks. Our analysis shows that installing and manipulating synthetic influence groups critically undermines consensus robustness.

Suggested Citation

  • Porciúncula, Giuliano G. & Sena-Junior, Marcone I. & Pereira, Luiz Felipe C. & Vilela, André L.M., 2025. "Consensus effects of social media synthetic influence groups on scale-free networks," Chaos, Solitons & Fractals, Elsevier, vol. 197(C).
  • Handle: RePEc:eee:chsofr:v:197:y:2025:i:c:s0960077925004928
    DOI: 10.1016/j.chaos.2025.116479
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077925004928
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.chaos.2025.116479?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:chsofr:v:197:y:2025:i:c:s0960077925004928. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.