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

Jacques Demongeot, Mariem Jelassi, Carla Taramasco

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)219-245
Number of pages27
JournalMathematical Population Studies
Volume24
Issue number4
DOIs
Publication statusPublished - 2 Oct 2017
Externally publishedYes

Keywords

  • frailty modeling
  • obesity pandemic spread modeling
  • public health policy against obesity
  • social networks

ASJC Scopus subject areas

  • Demography
  • Geography, Planning and Development
  • General Agricultural and Biological Sciences

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