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Modelling the Joint Effect of Social Determinants and Peers on Obesity Among Canadian Adults

  • Philippe J. GiabbanelliEmail author
  • Piper J. Jackson
  • Diane T. Finegood
Chapter
Part of the Intelligent Systems Reference Library book series (ISRL, volume 52)

Abstract

A novel framework for modelling trends in obesity is presented. The framework, integrating both Fuzzy Cognitive Maps (FCMs) and social networks, is applied to the problem of obesity prevention using knowledge shared through social connections. The capability of FCMs to handle a large number of relevant factors is used here to preserve domain expertise in the model. Model details and design decisions are presented along with results that suggest that the type of social network structure impacts the effectiveness of knowledge transfer.

Keywords

Social Network Nutrition Knowledge Inverse Gaussian Distribution Meal Planning Weight Stigma 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Philippe J. Giabbanelli
    • 1
    • 2
    Email author
  • Piper J. Jackson
    • 1
    • 3
  • Diane T. Finegood
    • 2
  1. 1.MoCSSy Program, Interdisciplinary Research in the Mathematical and Computational Sciences (IRMACS) CentreSimon Fraser UniversityBurnabyCanada
  2. 2.Department of Kinesiology and Biomedical PhysiologySimon Fraser UniversityBurnabyCanada
  3. 3.School of Computing ScienceSimon Fraser UniversityBurnabyCanada

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