From susceptibility to frailty in social networks: The case of obesity

Jacques Demongeot; Mariem Jelassi; Carla Taramasco

doi:10.1080/08898480.2017.1348718

From susceptibility to frailty in social networks: The case of obesity

Jacques Demongeot, Mariem Jelassi, Carla Taramasco

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8 Citas (Scopus)

Resumen

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.

Idioma original	Inglés
Páginas (desde-hasta)	219-245
Número de páginas	27
Publicación	Mathematical Population Studies
Volumen	24
N.º	4
DOI	https://doi.org/10.1080/08898480.2017.1348718
Estado	Publicada - 2 oct. 2017
Publicado de forma externa	Sí

Áreas temáticas de ASJC Scopus

Demografía
Geografía, planificación y desarrollo
Ciencias Agrícolas y Biológicas General

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.1080/08898480.2017.1348718

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From susceptibility to frailty in social networks: The case of obesity

Resumen

Áreas temáticas de ASJC Scopus

ODS de las Naciones Unidas

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