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    A network science approach to identifying conditions for consensus building in social networks

    Gao T 2025 Public.pdf (2.118Mb)
    Access Status
    Open access
    Authors
    Gao, Tianshu
    Date
    2025
    Supervisor
    Song Wang
    Ben Ye
    Lorenzo Ntogramatzidis
    Type
    Thesis
    Award
    PhD
    
    Metadata
    Show full item record
    Faculty
    Science and Engineering
    School
    School of Electrical Engineering, Computing and Mathematical Sciences
    URI
    http://hdl.handle.net/20.500.11937/98302
    Collection
    • Curtin Theses
    Abstract

    This thesis explores how consensus emerges in social networks and online discussions. It introduces a multi-layer model to measure deliberation in Reddit threads and an agent-based model to study social diffusion driven by a committed minority. Findings highlight how discussion structure and actor interactions shape deliberation quality, and how network topology and the placement of the committed minority influence the probability and speed of successful diffusion.

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