Cargando…
Topological measures for identifying and predicting the spread of complex contagions
The standard measure of distance in social networks – average shortest path length – assumes a model of “simple” contagion, in which people only need exposure to influence from one peer to adopt the contagion. However, many social phenomena are “complex” contagions, for which people need exposure to...
Autores principales: | Guilbeault, Douglas, Centola, Damon |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8292353/ https://www.ncbi.nlm.nih.gov/pubmed/34285206 http://dx.doi.org/10.1038/s41467-021-24704-6 |
Ejemplares similares
-
Networked collective intelligence improves dissemination of scientific information regarding smoking risks
por: Guilbeault, Douglas, et al.
Publicado: (2020) -
Experimental evidence for scale-induced category convergence across populations
por: Guilbeault, Douglas, et al.
Publicado: (2021) -
The reduction of race and gender bias in clinical treatment recommendations using clinician peer networks in an experimental setting
por: Centola, Damon, et al.
Publicado: (2021) -
Topological data analysis of contagion maps for examining spreading processes on networks
por: Taylor, Dane, et al.
Publicado: (2015) -
Experimental evidence for structured information–sharing networks reducing medical errors
por: Centola, Damon, et al.
Publicado: (2023)