Explaining Changes in Physical Activity Through a Computational Model of Social Contagion

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Social processes play a key role in health behaviour. Understanding the underlying mechanisms of such processes is important when designing health interventions with a social component. In this work, we apply a computational model of social contagion to a data set of 2,472 users of a physical activity promotion program. We compare this model’s predictions to the predictions of a simple linear model that has been derived by a regression analysis. The results show that the social contagion model performs better at describing the pattern seen in the empirical data than the linear model, indicating that some of the dynamics of the physical activity levels in the network can be explained by social contagion processes.
LanguageEnglish
Title of host publicationComplex Networks VIII. CompleNet 2017.
PublisherSpringer/Verlag
Pages213-223
ISBN (Electronic)978-3-319-54241-6
ISBN (Print)978-3-319-54240-9
DOIs
StatePublished - 21 Mar 2017

Publication series

NameSpringer Proceedings in Complexity

Fingerprint

physical activity
prediction
regression analysis

Keywords

  • Computational modeling
  • Social contagion
  • Validation
  • Physical activity

Cite this

Mollee, J. S., Fernandes de Mello Araujo, E., Manzoor, A., van Halteren, A. T., & Klein, M. C. A. (2017). Explaining Changes in Physical Activity Through a Computational Model of Social Contagion. In Complex Networks VIII. CompleNet 2017. (pp. 213-223). (Springer Proceedings in Complexity). Springer/Verlag. DOI: 10.1007/978-3-319-54241-6_19
Mollee, J.S. ; Fernandes de Mello Araujo, E. ; Manzoor, A. ; van Halteren, A.T. ; Klein, M.C.A./ Explaining Changes in Physical Activity Through a Computational Model of Social Contagion. Complex Networks VIII. CompleNet 2017.. Springer/Verlag, 2017. pp. 213-223 (Springer Proceedings in Complexity).
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abstract = "Social processes play a key role in health behaviour. Understanding the underlying mechanisms of such processes is important when designing health interventions with a social component. In this work, we apply a computational model of social contagion to a data set of 2,472 users of a physical activity promotion program. We compare this model’s predictions to the predictions of a simple linear model that has been derived by a regression analysis. The results show that the social contagion model performs better at describing the pattern seen in the empirical data than the linear model, indicating that some of the dynamics of the physical activity levels in the network can be explained by social contagion processes.",
keywords = "Computational modeling, Social contagion, Validation, Physical activity",
author = "J.S. Mollee and {Fernandes de Mello Araujo}, E. and A. Manzoor and {van Halteren}, A.T. and M.C.A. Klein",
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Mollee, JS, Fernandes de Mello Araujo, E, Manzoor, A, van Halteren, AT & Klein, MCA 2017, Explaining Changes in Physical Activity Through a Computational Model of Social Contagion. in Complex Networks VIII. CompleNet 2017.. Springer Proceedings in Complexity, Springer/Verlag, pp. 213-223. DOI: 10.1007/978-3-319-54241-6_19

Explaining Changes in Physical Activity Through a Computational Model of Social Contagion. / Mollee, J.S.; Fernandes de Mello Araujo, E.; Manzoor, A.; van Halteren, A.T.; Klein, M.C.A.

Complex Networks VIII. CompleNet 2017.. Springer/Verlag, 2017. p. 213-223 (Springer Proceedings in Complexity).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - Social processes play a key role in health behaviour. Understanding the underlying mechanisms of such processes is important when designing health interventions with a social component. In this work, we apply a computational model of social contagion to a data set of 2,472 users of a physical activity promotion program. We compare this model’s predictions to the predictions of a simple linear model that has been derived by a regression analysis. The results show that the social contagion model performs better at describing the pattern seen in the empirical data than the linear model, indicating that some of the dynamics of the physical activity levels in the network can be explained by social contagion processes.

AB - Social processes play a key role in health behaviour. Understanding the underlying mechanisms of such processes is important when designing health interventions with a social component. In this work, we apply a computational model of social contagion to a data set of 2,472 users of a physical activity promotion program. We compare this model’s predictions to the predictions of a simple linear model that has been derived by a regression analysis. The results show that the social contagion model performs better at describing the pattern seen in the empirical data than the linear model, indicating that some of the dynamics of the physical activity levels in the network can be explained by social contagion processes.

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Mollee JS, Fernandes de Mello Araujo E, Manzoor A, van Halteren AT, Klein MCA. Explaining Changes in Physical Activity Through a Computational Model of Social Contagion. In Complex Networks VIII. CompleNet 2017.. Springer/Verlag. 2017. p. 213-223. (Springer Proceedings in Complexity). Available from, DOI: 10.1007/978-3-319-54241-6_19