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    A Coevolutionary Model for Actions and Opinions in Social Networks

    BY041_LZino_ActionOpinion_Accepted.pdf (308.4Kb)
    Access Status
    Open access
    Authors
    Zino, L.
    Ye, Mengbin
    Cao, M.
    Date
    2020
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Zino, L. and Ye, M. and Cao, M. 2020. A Coevolutionary Model for Actions and Opinions in Social Networks. In Proceedings of the 59th IEEE Conference on Decision and Control (CDC), 14-18 Dec 2020, pp. 1110-1115. Jeju, South Korea.
    Source Title
    Proceedings of the IEEE Conference on Decision and Control
    DOI
    10.1109/CDC42340.2020.9303954
    ISBN
    9781728174471
    ISSN
    0743-1546
    Faculty
    Faculty of Science and Engineering
    School
    School of Elec Eng, Comp and Math Sci (EECMS)
    URI
    http://hdl.handle.net/20.500.11937/82650
    Collection
    • Curtin Research Publications
    Abstract

    © 2020 IEEE. In complex social networks, the decision-making mechanisms behind human actions and the cognitive processes that shape opinion formation processes are often intertwined, leading to complex and varied collective emergent behavior. In this paper, we propose a mathematical model that captures such a coevolution of actions and opinions. Following a discrete-time process, each individual decides between binary actions, aiming to coordinate with the actions of other members observed on a network of interactions and taking into account their own opinion. At the same time, the opinion of each individual evolves due to the opinions shared by other members, the actions observed on the network, and, possibly, an external influence source. We provide a global convergence result for a special case of the coupled dynamics. Steady state configurations in which all the individuals take the same action are then studied, elucidating the role of the model parameters and the network structure on the collective behavior of the system.

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