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dc.contributor.authorGao, Tianshu
dc.contributor.supervisorSong Wangen_US
dc.contributor.supervisorBen Yeen_US
dc.contributor.supervisorLorenzo Ntogramatzidisen_US
dc.date.accessioned2025-08-15T05:21:59Z
dc.date.available2025-08-15T05:21:59Z
dc.date.issued2025en_US
dc.identifier.urihttp://hdl.handle.net/20.500.11937/98302
dc.description.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.

en_US
dc.publisherCurtin Universityen_US
dc.titleA network science approach to identifying conditions for consensus building in social networksen_US
dc.typeThesisen_US
dcterms.educationLevelPhDen_US
curtin.departmentSchool of Electrical Engineering, Computing and Mathematical Sciencesen_US
curtin.accessStatusOpen accessen_US
curtin.facultyScience and Engineeringen_US
curtin.contributor.orcidGao, Tianshu [0000-0002-8127-0373]en_US


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