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Adaptive network approach for emergence of societal bubbles

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  • Maia, H.P.
  • Ferreira, S.C.
  • Martins, M.L.

Abstract

Far beyond its relevance for commercial and political marketings, opinion formation and decision making processes are central for representative democracy, government functioning, and state organization. In the present report, a stochastic agent-based model is investigated. The model assumes that bounded confidence and homophily mechanisms drive both opinion dynamics and social network evolution through either rewiring or breakage of social contacts. In addition to the classical transition from global consensus to opinion polarization, our main findings are (i) a cascade of fragmentation of the social network into echo chambers (modules) holding distinct opinions and rupture of the bridges interconnecting these modules as the tolerance for opinion differences increases. There are multiple surviving opinions associated to these modules within which consensus is formed; and (ii) the adaptive social network exhibits a hysteresis-like behavior characterized by irreversible changes in its topology as the opinion tolerance cycles from radicalization towards consensus and backward to radicalization.

Suggested Citation

  • Maia, H.P. & Ferreira, S.C. & Martins, M.L., 2021. "Adaptive network approach for emergence of societal bubbles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).
    • Handle: RePEc:eee:phsmap:v:572:y:2021:i:c:s0378437120308864
    DOI: 10.1016/j.physa.2020.125588
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    References listed on IDEAS

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    Cited by:

    1. Maia, Hugo P. & Ferreira, Silvio C. & Martins, Marcelo L., 2023. "Controversy-seeking fuels rumor-telling activity in polarized opinion networks," Chaos, Solitons & Fractals, Elsevier, vol. 169(C).
    2. Franco Bagnoli & Guido de Bonfioli Cavalcabo’ & Banedetto Casu & Andrea Guazzini, 2021. "Community Formation as a Byproduct of a Recommendation System: A Simulation Model for Bubble Formation in Social Media," Future Internet, MDPI, vol. 13(11), pages 1-11, November.

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