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Dynamic opinion updating with endogenous networks

Author

Listed:
  • Ugo Bolletta

    (RITM - Réseaux Innovation Territoires et Mondialisation - Université Paris-Saclay, Université Paris-Saclay)

  • Paolo Pin

    (UNISI - Università degli Studi di Siena = University of Siena)

Abstract

Polarization is a well-documented phenomenon across a wide range of social issues. However, existing theories often treat the evolution of individual opinions and the formation of social networks as separate processes. In this study, we examine how individuals dynamically adjust their opinions while simultaneously forming and dissolving social connections, highlighting the interconnected nature of these behaviors. Our model is based on two key parameters: the direct benefit individuals receive from social connections and their willingness to adapt their opinions to align with their social circle. We identify conditions under which the network fails to achieve full connectivity, leading to persistent polarization of opinions. Additionally, our model demonstrates that polarization can temporarily increase during the transition to consensus, depending on the initial distribution of opinions and network structure. We explore the connection between these scenarios and a critical network metric: the initial diameter, under specific conditions related to the initial distribution of opinions.

Suggested Citation

  • Ugo Bolletta & Paolo Pin, 2025. "Dynamic opinion updating with endogenous networks," Post-Print hal-05094051, HAL.
    • Handle: RePEc:hal:journl:hal-05094051
    DOI: 10.1016/j.euroecorev.2025.105045
    as

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