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物以类聚,还是朋友的朋友?使用指数随机图模型研究青少年社交网络。

Birds of a feather, or friend of a friend? Using exponential random graph models to investigate adolescent social networks.

作者信息

Goodreau Steven M, Kitts James A, Morris Martina

机构信息

Department of Anthropology, Center for Studies in Demography and Ecology, Campus Box 353100, University of Washington, Seattle, WA 91895, USA.

出版信息

Demography. 2009 Feb;46(1):103-25. doi: 10.1353/dem.0.0045.

DOI:10.1353/dem.0.0045
PMID:19348111
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2831261/
Abstract

In this article, we use newly developed statistical methods to examine the generative processes that give rise to widespread patterns in friendship networks. The methods incorporate both traditional demographic measures on individuals (age, sex, and race) and network measures for structural processes operating on individual, dyadic, and triadic levels. We apply the methods to adolescent friendship networks in 59 U.S. schools from the National Longitudinal Survey of Adolescent Health (Add Health). We model friendship formation as a selection process constrained by individuals' sociality (propensity to make friends), selective mixing in dyads (friendships within race, grade, or sex categories are differentially likely relative to cross-category friendships), and closure in triads (a friend's friends are more likely to become friends), given local population composition. Blacks are generally the most cohesive racial category, although when whites are in the minority, they display stronger selective mixing than do blacks when blacks are in the minority. Hispanics exhibit disassortative selective mixing under certain circumstances; in other cases, they exhibit assortative mixing but lack the higher-order cohesion common in other groups. Grade levels are always highly cohesive, while females form triangles more than males. We conclude with a discussion of how network analysis may contribute to our understanding of sociodemographic structure and the processes that create it.

摘要

在本文中,我们使用新开发的统计方法来研究导致友谊网络中广泛模式的生成过程。这些方法既纳入了针对个体的传统人口统计学指标(年龄、性别和种族),也纳入了针对在个体、二元组和三元组层面上运行的结构过程的网络指标。我们将这些方法应用于来自美国国家青少年健康纵向调查(Add Health)的59所美国学校中的青少年友谊网络。在给定当地人口构成的情况下,我们将友谊形成建模为一个受个体社交性(交朋友的倾向)、二元组中的选择性混合(种族、年级或性别类别内的友谊相对于跨类别友谊有不同的可能性)以及三元组中的闭合性(朋友的朋友更有可能成为朋友)约束的选择过程。黑人通常是最具凝聚力的种族类别,不过当白人处于少数群体时,他们表现出比黑人处于少数群体时更强的选择性混合。西班牙裔在某些情况下表现出异配选择性混合;在其他情况下,他们表现出同配混合,但缺乏其他群体中常见的高阶凝聚力。年级层面始终具有高度的凝聚力,而女性比男性更易形成三角关系。我们最后讨论了网络分析如何有助于我们理解社会人口结构及其形成过程。