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Effectiveness variation in simulated school-based network interventions

机译：模拟校本网络干预的有效性差异

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Abstract BackgroundPrevious 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.MethodsWe 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.ResultsSeed 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.ConclusionsConsistent 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.
机译：抽象背景先前的模拟研究发现，从高度种子开始会导致更快，更完整的网络传播。然而，很少有研究，并且没有使用与学校环境相关的网络。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％学生群体中的传播。该种子组由七种不同的方法（称为干预措施）构成。干预措施的有效性通过达到模拟学生的比例和所花费的时间来衡量。结果与其他干预措施相比，在一系列措施和模拟感染范围内，由受欢迎学生组成的种子组更为有效。在实施过程中，选择有说服力的学生对于许多模拟情况也很有效。但是，此干预措施不能与其他受测者严格比较。结论与以前的模拟研究一致，将受欢迎的学生用作种子组是优化学校网络干预措施的有效方法。此外，研究人员应考虑向有影响力的学生补充种子组。

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