Effectiveness variation in simulated school-based network interventions

Applied Network Science

Ruth F. Hunter¹  Jennifer Badham¹  Frank Kee¹ 

[1] Centre for Public Health, Queen’s University Belfast;

关键词: Network interventions;    Behaviour change;    Agent-based modelling;    Adolescents;   

DOI  :  10.1007/s41109-019-0168-6

来源: DOAJ

【 摘 要 】

Abstract Background Previous simulation studies have found that starting with high degree seeds leads to faster and more complete diffusion over networks. However, there are few studies and none have used networks that are relevant to a school setting. Methods We construct 17 networks from friendship nominations in schools and simulate diffusion from a seed group of 15% of the students. That seed group is constructed with seven different approaches (referred to as interventions). The effectiveness of the intervention is measured by the proportion of simulated students reached and the time taken. Results Seed groups comprising popular students are effective compared to other interventions across a range of measures and simulated contagions. As operationalised, selecting persuasive students is also effective for many simulation scenarios. However, this intervention is not strictly comparable with the others tested. Conclusions Consistent with previous simulation studies, using popular students as a seed group is a robust approach to optimising network interventions in schools. In addition, researchers should consider supplementing the seed group with influential students.

【 授权许可】

Unknown