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Authors: Eric Fernandes de Mello Araújo 1 ; Bojan Simoski 1 ; Thabo van Woudenberg 2 ; Kirsten Bevelander 2 ; Crystal Smit 2 ; Laura Buijs 2 ; Michel Klein 1 and Moniek Buijzen 2

Affiliations: 1 Behavioural Informatics Group, Vrije Universiteit Amsterdam, Amsterdam and The Netherlands ; 2 Behavioural Science Institute, Radboud University, Communication Science, Nijmegen and The Netherlands

ISBN: 978-989-758-323-0

Keyword(s): Agent-based Modeling, Physical Activity, Social Contagion, Social Networks, Behavioural Informatics, Children.

Related Ontology Subjects/Areas/Topics: Agent Based Modeling and Simulation ; Complex Systems Modeling and Simulation ; Sensor Networks ; Simulation and Modeling ; Simulation Tools and Platforms ; Software and Architectures

Abstract: The reduction of childhood obesity through the promotion of a healthy lifestyle is one of the most important public health challenges at the moment. It is known that the unhealthy habits of children can cause unavoidable side effects in their early stage of life, including both physical and mental consequences. This work considers that the physical activity level of children is a behaviour that can be spread throughout the social relations of children in their daily life at school. Therefore, the aim of this work is to define what the best strategy is to find ’targets’ (i.e., influential children that can initiate behavioural change) for physical activity (PA) interventions that would affect the average PA of a population of Dutch school classes. We tuned a model based on the influence of the children’s peers in their social network, based on the data set from the MyMovez project – Phase I. Five intervention strategies were implemented, and their efficacy was compared. Once the target s were chosen, an increase of 17% was applied to their initial PA. Then, the diffusion model was run to verify the improvement on the PA of the whole network after one year. We discuss implications of the simulation results on which strategies may be used to make informed choices about the setup of social network interventions and future model improvements. Our results show that targeting more vulnerable children (i.e. in a worse environment) and applying a network optimization algorithm are the best solutions for this data set indicating that future interventions should aim for these two strategies. (More)

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Paper citation in several formats:
Fernandes de Mello Araújo, E.; Simoski, B.; van Woudenberg, T.; Bevelander, K.; Smit, C.; Buijs, L.; Klein, M. and Buijzen, M. (2018). Using Simulations for Exploring Interventions in Social Networks - Modeling Physical Activity Behaviour in Dutch School Classes.In Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-758-323-0, pages 414-425. DOI: 10.5220/0006857704140425

@conference{simultech18,
author={Eric Fernandes de Mello Araújo. and Bojan Simoski. and Thabo van Woudenberg. and Kirsten Bevelander. and Crystal Smit. and Laura Buijs. and Michel Klein. and Moniek Buijzen.},
title={Using Simulations for Exploring Interventions in Social Networks - Modeling Physical Activity Behaviour in Dutch School Classes},
booktitle={Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2018},
pages={414-425},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006857704140425},
isbn={978-989-758-323-0},
}

TY - CONF

JO - Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - Using Simulations for Exploring Interventions in Social Networks - Modeling Physical Activity Behaviour in Dutch School Classes
SN - 978-989-758-323-0
AU - Fernandes de Mello Araújo, E.
AU - Simoski, B.
AU - van Woudenberg, T.
AU - Bevelander, K.
AU - Smit, C.
AU - Buijs, L.
AU - Klein, M.
AU - Buijzen, M.
PY - 2018
SP - 414
EP - 425
DO - 10.5220/0006857704140425

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