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Network Effects in Blau Space: Imputing Social Context from Survey Data

机译:Blau空间中的网络效果:从调查数据中抵御社会背景

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We develop a method of imputing ego network characteristics for respondents in probability samples of individuals. This imputed network uses the homophily principle to estimate certain properties of a respondent’s core discussion network in the absence of actual network data. These properties measure the potential exposure of respondents to the attitudes, values, beliefs, and so on of their (likely) network alters. We use American National Election Study data to demonstrate that the imputed network features show substantial effects on individual-level measures, such as political attitudes and beliefs. In some cases, the imputed network variable substantially reduces the effects of standard sociodemographic variables, like age and education. We argue that the imputed network variable captures many of the aspects of social context that have been at the core of sociological analysis for decades.
机译:我们开发了一种在个人概率样本中抵御自我网络特征的方法。该算仓的网络在没有实际网络数据的情况下使用奇妙原理来估计受访者核心讨论网络的某些特性。这些属性衡量受访者对其(可能)网络改革的态度,价值观,信仰等的潜在暴露。我们使用美国国家选举研究数据来证明电算的网络特征对个人级别措施(例如政治态度和信念)表现出实质性影响。在某些情况下,电算的网络变量大大降低了标准的社会渗透变量,如年龄和教育的影响。我们认为电算的网络变量占据了几十年来社会学分析核心的许多方面。

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