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Co-developing beliefs and social influence networks—towards understanding socio-cognitive processes like Brexit

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  • Bruce Edmonds

    (Manchester Metropolitan University)

Abstract

A model of mutual influence is presented where the structure of individual’s beliefs and the social structure both matter. The model thus combines processes of belief change base on Thagard’s (Behav Brain Sci 12:435–467, 1989) theory of mental coherence with plausible processes of social network change. This combination of cognitive and social processes has outcomes that are qualitatively different from either only cognitive or only social processes, which shows the importance of studying these together. An illustration that moves towards representing the processes involved in Brexit is also exhibited to show the potential of this kind of simulation. Whilst only conceived of as an illustration of a kind of model, it is consistent with a number of observed patterns in opinion poll data, with some social and cognitive theories and only consists of plausible processes. This kind of model could also be used to relate and integrate different kinds of evidence into a coherent framework in the shape of more developed simulations.

Suggested Citation

  • Bruce Edmonds, 2020. "Co-developing beliefs and social influence networks—towards understanding socio-cognitive processes like Brexit," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(2), pages 491-515, April.
    • Handle: RePEc:spr:qualqt:v:54:y:2020:i:2:d:10.1007_s11135-019-00891-9
    DOI: 10.1007/s11135-019-00891-9
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    References listed on IDEAS

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    1. Bruce Edmonds, 2012. "Modeling Belief Change In A Population Using Explanatory Coherence," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 15(06), pages 1-15.
    2. Charles S. Taber & Milton Lodge, 2006. "Motivated Skepticism in the Evaluation of Political Beliefs," American Journal of Political Science, John Wiley & Sons, vol. 50(3), pages 755-769, July.
    3. Bruce Edmonds, 2015. "Using Qualitative Evidence to Inform the Specification of Agent-Based Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 18(1), pages 1-18.
    4. Ulf Lotzmann & Martin Neumann, 2017. "Simulation for Interpretation: A Methodology for Growing Virtual Cultures," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(3), pages 1-13.
    5. Rainer Hegselmann & Ulrich Krause, 2002. "Opinion Dynamics and Bounded Confidence Models, Analysis and Simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 5(3), pages 1-2.
    6. Guillaume Deffuant & Frederic Amblard & Gérard Weisbuch, 2002. "How Can Extremism Prevail? a Study Based on the Relative Agreement Interaction Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 5(4), pages 1-1.
    7. Andreas Flache & Michael Mäs & Thomas Feliciani & Edmund Chattoe-Brown & Guillaume Deffuant & Sylvie Huet & Jan Lorenz, 2017. "Models of Social Influence: Towards the Next Frontiers," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(4), pages 1-2.
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    Cited by:

    1. HaeJung Maria Kim & Kyung Wha Oh & Hye Jung Jung, 2020. "Socialization on Sustainable Networks: The Case of eBay Green’s Facebook," Sustainability, MDPI, vol. 12(8), pages 1-15, April.

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