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.
|Title of host publication
|Proceedings of the ASE BigData & SocialInformatics 2015
|Published - 2015
|ASE BigData & SocialInformatics 2015 -
Duration: 1 Jan 2015 → 1 Jan 2015
|ASE BigData & SocialInformatics 2015
|1/01/15 → 1/01/15