Estimating Peer Effects On Health In Social Networks: A Response To Cohen-cole And Fletcher; And Trogdon, Nonnemaker, And Pais

J.H. Fowler; N.A. Christakis

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Estimating Peer Effects On Health In Social Networks: A Response To Cohen-cole And Fletcher; And Trogdon, Nonnemaker, And Pais

机译：估计同伴对社交网络中健康的影响：对Cohen-cole和Fletcher的回应；和Trogdon，Nonnemaker和Pais

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In July of 2007, we published a paper in the New England Journal of Medicine that used dynamic data over 32 years from the Framingham Heart Study Social Network (FHS-Net) to study the conditions under which obesity might spread from person to person (Christakis and Fowler, 2007, hereafter, CF). We found that obese persons formed clusters in the network at all time points and that these clusters extended to three degrees of separation (e.g., to a person's friend's friend's friend). Moreover, statistical analyses suggested that the clusters were not solely attributable to the selective formation of social ties among obese persons. A person's chances of becoming obese increased if he or she had a friend who became obese in a given time period.

机译：2007年7月，我们在《新英格兰医学杂志》上发表了一篇论文，该论文使用了Framingham心脏研究社交网络（FHS-Net）历时32年的动态数据来研究肥胖可能在人与人之间传播的情况（Christakis和Fowler，2007年，以下简称CF）。我们发现肥胖者在所有时间点都在网络中形成簇，并且这些簇延伸到三个分离程度（例如，扩展到一个人的朋友的朋友的朋友）。此外，统计分析表明，这些集群不仅仅归因于肥胖者之间社会联系的选择性形成。如果一个人的朋友在给定时间段内变得肥胖，则他变得肥胖的机会就会增加。

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《Journal of health economics》 |2008年第5期|p.1400-1405|共6页
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J.H. Fowler; N.A. Christakis;
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Department of Political Science, University of California, San Diego, United States;

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Estimating Peer Effects On Health In Social Networks: A Response To Cohen-cole And Fletcher; And Trogdon, Nonnemaker, And Pais

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