Collective patterns of social diffusion are shaped by individual inertia and trend-seeking
dc.contributor.author | Ye, Mengbin | |
dc.contributor.author | Zino, L. | |
dc.contributor.author | Mlakar, Ž. | |
dc.contributor.author | Bolderdijk, J.W. | |
dc.contributor.author | Risselada, H. | |
dc.contributor.author | Fennis, B.M. | |
dc.contributor.author | Cao, M. | |
dc.date.accessioned | 2022-07-25T02:49:54Z | |
dc.date.available | 2022-07-25T02:49:54Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Ye, M. and Zino, L. and Mlakar, Ž. and Bolderdijk, J.W. and Risselada, H. and Fennis, B.M. and Cao, M. 2021. Collective patterns of social diffusion are shaped by individual inertia and trend-seeking. Nature Communications. 12 (1): ARTN 5698. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/89029 | |
dc.identifier.doi | 10.1038/s41467-021-25953-1 | |
dc.description.abstract |
Social conventions change when individuals collectively adopt an alternative over the status quo, in a process known as social diffusion. Our repeated trials of a multi-round experiment provided data that helped motivate the proposal of an agent-based model of social diffusion that incorporates inertia and trend-seeking, two behavioural mechanisms that are well documented in the social psychology literature. The former causes people to stick with their current decision, the latter creates sensitivity to population-level changes. We show that such inclusion resolves the contradictions of existing models, allowing to reproduce patterns of social diffusion which are consistent with our data and existing empirical observations at both the individual and population level. The model reveals how the emergent population-level diffusion pattern is critically shaped by the two individual-level mechanisms; trend-seeking guarantees the diffusion is explosive after the diffusion process takes off, but inertia can greatly delay the time to take-off. | |
dc.language | English | |
dc.publisher | NATURE PORTFOLIO | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.subject | Science & Technology | |
dc.subject | Multidisciplinary Sciences | |
dc.subject | Science & Technology - Other Topics | |
dc.subject | INNOVATION DIFFUSION | |
dc.subject | COMPLEX CONTAGIONS | |
dc.subject | DYNAMICS | |
dc.subject | EVOLUTION | |
dc.subject | MINORITY | |
dc.subject | SPREAD | |
dc.subject | ONLINE | |
dc.subject | MODELS | |
dc.title | Collective patterns of social diffusion are shaped by individual inertia and trend-seeking | |
dc.type | Journal Article | |
dcterms.source.volume | 12 | |
dcterms.source.number | 1 | |
dcterms.source.issn | 2041-1723 | |
dcterms.source.title | Nature Communications | |
dc.date.updated | 2022-07-25T02:49:53Z | |
curtin.department | School of Elec Eng, Comp and Math Sci (EECMS) | |
curtin.accessStatus | Open access | |
curtin.faculty | Faculty of Science and Engineering | |
curtin.contributor.orcid | Ye, Mengbin [0000-0003-1698-0173] | |
curtin.identifier.article-number | ARTN 5698 | |
dcterms.source.eissn | 2041-1723 | |
curtin.contributor.scopusauthorid | Ye, Mengbin [56203529600] |