Analysis and Evaluation of Social Contagion of Physical Activity in a Group of Young Adults

E. Fernandes de Mello Araujo; A.V.T.T. Tran; J.S. Mollee; M.C.A. Klein

doi:10.1145/2818869.2818922

Analysis and Evaluation of Social Contagion of Physical Activity in a Group of Young Adults

E. Fernandes de Mello Araujo, A.V.T.T. Tran, J.S. Mollee, M.C.A. Klein

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

Abstract

It is known that opinions, attitudes and emotions spread through social networks. Several of these cognitions influence behavioral choices. Therefore, it is assumed that the level of physical activity of a person is influenced by the activity levels of the people in its social network. We have performed an experiment with 20 participants between 19 and 28 years old, measuring their physical activity levels for 30 days, in order to observe if there is a contagion effect due to the relationships in the social network. Using our social contagion model, we investigated if people will become more or less active according to the contacts with their peers within the network. Our model correctly predicts the direction of the change (increasing or decreasing) in 80% up to 87% of the cases investigated.

Original language	English
Title of host publication	Proceedings of the ASE BigData & SocialInformatics 2015
DOIs	https://doi.org/10.1145/2818869.2818922
Publication status	Published - 2015
Event	ASE BigData & SocialInformatics 2015 - Duration: 1 Jan 2015 → 1 Jan 2015

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Conference	ASE BigData & SocialInformatics 2015
Period	1/01/15 → 1/01/15

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10.1145/2818869.2818922

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@inproceedings{8f6fb372da50453ba6e7c2f4f4189f0f,

title = "Analysis and Evaluation of Social Contagion of Physical Activity in a Group of Young Adults",

abstract = "It is known that opinions, attitudes and emotions spread through social networks. Several of these cognitions influence behavioral choices. Therefore, it is assumed that the level of physical activity of a person is influenced by the activity levels of the people in its social network. We have performed an experiment with 20 participants between 19 and 28 years old, measuring their physical activity levels for 30 days, in order to observe if there is a contagion effect due to the relationships in the social network. Using our social contagion model, we investigated if people will become more or less active according to the contacts with their peers within the network. Our model correctly predicts the direction of the change (increasing or decreasing) in 80% up to 87% of the cases investigated.",

author = "{Fernandes de Mello Araujo}, E. and A.V.T.T. Tran and J.S. Mollee and M.C.A. Klein",

year = "2015",

doi = "10.1145/2818869.2818922",

language = "English",

isbn = "9781450337359",

booktitle = "Proceedings of the ASE BigData & SocialInformatics 2015",

note = "ASE BigData & SocialInformatics 2015 ; Conference date: 01-01-2015 Through 01-01-2015",

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T1 - Analysis and Evaluation of Social Contagion of Physical Activity in a Group of Young Adults

AU - Fernandes de Mello Araujo, E.

AU - Tran, A.V.T.T.

AU - Mollee, J.S.

AU - Klein, M.C.A.

PY - 2015

Y1 - 2015

N2 - It is known that opinions, attitudes and emotions spread through social networks. Several of these cognitions influence behavioral choices. Therefore, it is assumed that the level of physical activity of a person is influenced by the activity levels of the people in its social network. We have performed an experiment with 20 participants between 19 and 28 years old, measuring their physical activity levels for 30 days, in order to observe if there is a contagion effect due to the relationships in the social network. Using our social contagion model, we investigated if people will become more or less active according to the contacts with their peers within the network. Our model correctly predicts the direction of the change (increasing or decreasing) in 80% up to 87% of the cases investigated.

AB - It is known that opinions, attitudes and emotions spread through social networks. Several of these cognitions influence behavioral choices. Therefore, it is assumed that the level of physical activity of a person is influenced by the activity levels of the people in its social network. We have performed an experiment with 20 participants between 19 and 28 years old, measuring their physical activity levels for 30 days, in order to observe if there is a contagion effect due to the relationships in the social network. Using our social contagion model, we investigated if people will become more or less active according to the contacts with their peers within the network. Our model correctly predicts the direction of the change (increasing or decreasing) in 80% up to 87% of the cases investigated.

U2 - 10.1145/2818869.2818922

DO - 10.1145/2818869.2818922

M3 - Conference contribution

SN - 9781450337359

BT - Proceedings of the ASE BigData & SocialInformatics 2015

T2 - ASE BigData & SocialInformatics 2015

Y2 - 1 January 2015 through 1 January 2015

ER -

Analysis and Evaluation of Social Contagion of Physical Activity in a Group of Young Adults

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