Certain people occupy topological positions within social networks that enhance their effectiveness at inducing spillovers. We mapped face-to-face networks among 24,702 people in 176 isolated villages in Honduras and randomly assigned villages to targeting methods, varying the fraction of households receiving a 22-month health education package and the method by which households were chosen (randomly versus using the friendship-nomination algorithm). We assessed 117 diverse knowledge, attitude, and practice outcomes. Friendship-nomination targeting reduced the number of households needed to attain specified levels of village-wide uptake. Knowledge spread more readily than behavior, and spillovers extended to two degrees of separation. Outcomes that were intrinsically easier to adopt also manifested greater spillovers. Network targeting using friendship nomination effectively promotes population-wide improvements in welfare through social contagion.

中文翻译：

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在偏远村庄的结构化实验中诱导社会传染以获得不同的结果

某些人在社交网络中占据拓扑位置，这增强了他们引发溢出效应的效率。我们绘制了洪都拉斯 176 个偏远村庄的 24,702 人的面对面网络，并随机分配村庄的目标方法，改变接受 22 个月健康教育包的家庭比例以及选择家庭的方法（随机与使用友谊提名算法）。我们评估了 117 项不同的知识、态度和实践成果。友谊提名目标减少了达到全村特定水平所需的家庭数量。知识比行为更容易传播，溢出效应延伸到两级分离。本质上更容易采用的成果也表现出更大的溢出效应。使用友谊提名的网络定位通过社会传染有效地促进了全民福利的改善。