工程社交网络：初始分组如何塑造学生社交互动
Engineering Social Networks: How Initial Group Assignment Shapes Student Social Interactions
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中文总结 AI 辅助
研究大一学生分组对社交网络形成的影响，通过细粒度数据及子图生成模型估计影响，发现考虑三元闭包很关键，忽略它会使分组政策网络效应预测产生误导。
中文摘要 AI 辅助
大量文献利用外部变化来估计分配到教室或其他小组如何塑造社交网络。然而，这些分析大多仍是二元的，孤立地看待每个联系，尽管关系往往通过三元闭包形成，比如朋友的朋友也会成为朋友。我们使用关于电话、短信、实际共处位置和社交媒体关系的细粒度数据，估计将大一学生随机分配到教室和较小社交小组对网络形成的影响。为明确分析分组与三元闭包是否相互作用，我们用随机分配估计网络形成的子图生成模型。事实证明，考虑三元闭包至关重要。特别是对于社会群体，分组几乎完全通过引发额外的三元闭包来影响网络形成。因此，忽略三元闭包的估计可能会对分组政策的网络效应和益处产生误导性预测。
英文摘要
A large literature uses exogenous variation to estimate how assignment to classrooms or other groups shapes social networks. Yet most of these analyses remain dyadic, treating each link in isolation, even though ties often form through triadic closure, as a friend of a friend also becomes a friend. Using fine-grained data on phone calls, text messages, physical co-location, and social-media ties, we estimate the network formation effects of randomly assigning first-year university students to classrooms and to smaller social groups. To analyze explicitly whether group assignment interact with triadic closure, we use our random assignment to estimate a subgraph generated model of network formation. Accounting for triadic closure turns out to be crucial. For social groups in particular, group assignment affects network formation almost entirely by inducing additional triadic closure. Estimates ignoring triadic closure can thus yield misleading predictions about the network effects and benefits of group assignment policies.
