Effectiveness variation in simulated school-based network interventions
Effectiveness variation in simulated school-based network interventions
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DOI：
10.1007/s41109-019-0168-6
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发表时间：
2019-09-23
影响因子：
2.2
通讯作者：
Hunter, Ruth F.
中科院分区：
文献类型：
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作者：
Badham, Jennifer;Kee, Frank;Hunter, Ruth F.
背景以前的模拟研究发现，从高度种子开始会导致网络上更快，更完全的扩散。然而，很少有研究，没有一个使用的网络是相关的学校设置。方法我们从学校的友谊提名中构建了17个网络，并模拟了15%学生的种子组的扩散。该种子组由七种不同的方法（称为干预措施）构成。干预的有效性是衡量模拟学生达到的比例和所花的时间。结果种子组包括受欢迎的学生是有效的，在一系列措施和模拟传染的其他干预措施相比。作为操作，选择有说服力的学生也是有效的许多模拟场景。然而，这种干预措施与其他测试措施并不具有严格的可比性。结论与以前的模拟研究一致，使用受欢迎的学生作为种子组是一个强大的方法来优化学校的网络干预。此外，研究人员应考虑用有影响力的学生补充种子组。
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.