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ABSTRACT: Background
Social network interventions targeted at children and adolescents can have a substantial effect on their health behaviors, including physical activity. However, designing successful social network interventions is a considerable research challenge. In this study, we rely on social network analysis and agent-based simulations to better understand and capitalize on the complex interplay of social networks and health behaviors. More specifically, we investigate criteria for selecting influence agents that can be expected to produce the most successful social network health interventions.Objective
The aim of this study was to test which selection criterion to determine influence agents in a social network intervention resulted in the biggest increase in physical acti
SUBMITTER: van Woudenberg TJ
PROVIDER: S-EPMC6699133 | biostudies-literature | 2019 Aug
REPOSITORIES: biostudies-literature