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Opinion and Self-confidence in Influence Networks: A Coupled Dynamics Model

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Social Networks Analysis and Mining (ASONAM 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 15213))

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Abstract

In this paper, we develop a novel model of opinion dynamics that takes into account the variability of self-confidence. This agent-based model aims at combining both opinion and self-confidence, two notions often assimilated in many modeling works, although well distinct in practice. We analyze our model under two types of opinion space, namely a standard interval and a circular structure under which the system presents some intriguing specificity. We give some insights concerning the global equilibria of the co-evolving dynamics, and also highlight some salient features of the global system’s trajectory. Finally, we conduct several numerical simulations to support the analytical results.

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Acknowledgments

This work has been fully supported by the Agence Nationale de la Recherche (ANR), through the project NICETWEET (ANR-20-CE48-0009).

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Authors and Affiliations

  1. Laboratoire Informatique d’Avignon (LIA), Avignon Université, Avignon, France

    Emmanuel Kravitzch & Yezekael Hayel

  2. Département Contrôle Identification Diagnostic (CID), CRAN, Université de Lorraine, CNRS, Nancy, France

    Vineeth S. Varma

  3. Laboratoire des Signaux et Systèmes (L2S), Université Paris-Saclay, CNRS, CentraleSupélec, Orsay, France

    Emmanuel Kravitzch & Antoine O. Berthet

Authors
  1. Emmanuel Kravitzch
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  2. Vineeth S. Varma
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  3. Antoine O. Berthet
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  4. Yezekael Hayel
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Corresponding author

Correspondence to Emmanuel Kravitzch .

Editor information

Editors and Affiliations

  1. IT University of Copenhagen, Copenhagen, Denmark

    Luca Maria Aiello

  2. Indian Institute of Technology Delhi, New Delhi, Delhi, India

    Tanmoy Chakraborty

  3. Università degli Studi di Milano, Milan, Italy

    Sabrina Gaito

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Kravitzch, E., Varma, V.S., Berthet, A.O., Hayel, Y. (2025). Opinion and Self-confidence in Influence Networks: A Coupled Dynamics Model. In: Aiello, L.M., Chakraborty, T., Gaito, S. (eds) Social Networks Analysis and Mining. ASONAM 2024. Lecture Notes in Computer Science, vol 15213. Springer, Cham. https://doi.org/10.1007/978-3-031-78548-1_6

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  • DOI: https://doi.org/10.1007/978-3-031-78548-1_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-78547-4

  • Online ISBN: 978-3-031-78548-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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