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Dr. Lee is a part of the team that has recently published “Modeling competing narratives in adaptive networks: how social pressure and network dynamics drive tipping and persistence” in Humanities and Social Sciences Communications. This study develops an agent-based model to explain how competing narratives spread through adaptive social networks. Strong social pressure and rapid network rewiring produced fast, localized diffusion and ideological clustering, while moderate adaptation enabled broader diffusion through bridging ties. Declining attention limited large-scale spread, but persistent promotion by committed seeders sustained narratives within polarized clusters, demonstrating how network dynamics shape diffusion and polarization.
View Publication: https://doi.org/10.1057/s41599-026-08287-5
View Publication: https://doi.org/10.1057/s41599-026-08287-5
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