青少年友谊网络中的强弱关系同质性:同种族和同性关系的分析。

IF 1.4 Q2 SOCIAL SCIENCES, INTERDISCIPLINARY Network Science Pub Date : 2022-09-01 DOI:10.1017/nws.2022.24
Cassie McMillan
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引用次数: 1

摘要

虽然我们知道青少年倾向于与种族和性别相同的同龄人交朋友,但尚不清楚同性关系的模式是否会因这些关系的强度、亲密度或连通性而有所不同。通过将有价值的指数随机图模型应用到153个青少年友谊网络样本中,我测试了同性和同性友谊的倾向是否会因强弱关系关系而有所不同。在非多样化的,主要是白人的网络中,弱关系更有可能将同种族的同伴联系起来,而种族同一性与更牢固的友谊的形成无关。然而,随着种族多样性的增加,牢固的纽带更有可能将同种族的同伴联系起来,而较弱的纽带则不太可能由种族同一性来定义。性别同一性定义了所有友谊关系的模式,但这种趋势在较弱的联系中更为明显。我的研究结果强调了在考察青少年网络中的社会过程时考虑纽带强度的经验价值。
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Strong and weak tie homophily in adolescent friendship networks: An analysis of same-race and same-gender ties.

While we know that adolescents tend to befriend peers who share their race and gender, it is unclear whether patterns of homophily vary according to the strength, intimacy, or connectedness of these relationships. By applying valued exponential random graph models to a sample of 153 adolescent friendship networks, I test whether tendencies towards same-race and same-gender friendships differ for strong versus weak relational ties. In nondiverse, primarily white networks, weak ties are more likely to connect same-race peers, while racial homophily is not associated with the formation of stronger friendships. As racial diversity increases, however, strong ties become more likely to connect same-race peers, while weaker bonds are less apt to be defined by racial homophily. Gender homophily defines the patterns of all friendship ties, but these tendencies are more pronounced for weaker connections. My results highlight the empirical value of considering tie strength when examining social processes in adolescent networks.

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来源期刊
Network Science
Network Science SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
3.50
自引率
5.90%
发文量
24
期刊介绍: Network Science is an important journal for an important discipline - one using the network paradigm, focusing on actors and relational linkages, to inform research, methodology, and applications from many fields across the natural, social, engineering and informational sciences. Given growing understanding of the interconnectedness and globalization of the world, network methods are an increasingly recognized way to research aspects of modern society along with the individuals, organizations, and other actors within it. The discipline is ready for a comprehensive journal, open to papers from all relevant areas. Network Science is a defining work, shaping this discipline. The journal welcomes contributions from researchers in all areas working on network theory, methods, and data.
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