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Departamento Gestión de Conocimiento, Monitoreo y Prospección
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From susceptibility to frailty in social networks: The case of obesity
| Indexado |
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| DOI | 10.1080/08898480.2017.1348718 | ||||
| Año | 2017 | ||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
Abstract
The obesity pandemic is represented by a discrete-time Hopfield Boolean network embedded in continuous-time population dynamics. The influence of the social environment passes through a system of differential equations, whereby obesity spreads by imitation of the most influential neighbors, those who have the highest centrality indices in the network. This property is called homophily. Susceptibility and frailty are redefined using network properties. Projections of the spread of obesity are validated on data collected in a French high school.
| WOS |
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| Statistics & Probability |
| Mathematics, Interdisciplinary Applications |
| Social Sciences, Mathematical Methods |
| Demography |
| Scopus |
|---|
| Agricultural And Biological Sciences (All) |
| Mathematics (All) |
| Geography, Planning And Development |
| Demography |
| SciELO |
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| Sin Disciplinas |
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Demongeot, J. | Hombre |
Univ Joseph Fourier - Francia
Universidad de Valparaíso - Chile Universite Grenoble Alpes - Francia |
| 2 | Jelassi, Mariem | - |
Univ Joseph Fourier - Francia
Univ Tunis El Manar - Túnez Universite Grenoble Alpes - Francia |
| 3 | TARAMASCO-TORO, CARLA | Mujer |
Universidad de Valparaíso - Chile
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