Typologies of duocentric networks among low-income newlywed couples.

IF 1.4 Q2 SOCIAL SCIENCES, INTERDISCIPLINARY Network Science Pub Date : 2023-12-01 Epub Date: 2023-08-25 DOI:10.1017/nws.2023.16
David P Kennedy, Thomas N Bradbury, Benjamin R Karney
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Abstract

The social networks surrounding intimate couples provide them with bonding and bridging social capital and have been theorized to be associated with their well-being and relationship quality. These networks are multidimensional, featuring compositional (e.g., the proportion of family members vs. friends) and structural characteristics (e.g., density, degree of overlap between spouses' networks). Most previous studies of couple networks are based on partners' global ratings of their network characteristics or network data collected from one member of the dyad. This study presents the analysis of "duocentric networks" or the combined personal networks of both members of a couple, collected from 207 mixed-sex newlywed couples living in low-income neighborhoods of Harris County, TX. We conducted a pattern-centric analysis of compositional and structural features to identify distinct types of couple networks. We identified five qualitatively distinct network types (wife family-focused, husband family-focused, shared friends, wife friend-focused, and extremely disconnected). Couples' network types were associated with the quality of the relationships between couples and their network contacts (e.g., emotional support) but not with the quality of the couples' relationship with each other. We argue that duocentric networks provide appropriate data for measuring bonding and bridging capital in couple networks.

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低收入新婚夫妇的双中心网络类型
围绕亲密伴侣的社交网络为他们提供了联系和桥接的社会资本,并被认为与他们的幸福感和关系质量有关。这些网络是多维的,具有组成特征(例如,家庭成员与朋友的比例)和结构特征(例如密度、配偶网络之间的重叠程度)。以前对情侣网络的大多数研究都是基于伴侣对其网络特征的全球评级,或者从二人组的一个成员那里收集的网络数据。这项研究对居住在德克萨斯州哈里斯县低收入社区的207对男女混合的新婚夫妇的“双中心网络”或夫妻双方的组合个人网络进行了分析。我们对组成和结构特征进行了以模式为中心的分析,以确定不同类型的耦合网络。我们确定了五种性质不同的网络类型(以妻子家庭为中心、以丈夫家庭为中心,共享朋友、以妻子朋友为中心和极度脱节)。夫妻的网络类型与夫妻之间的关系质量及其网络联系(如情感支持)有关,但与夫妻彼此关系的质量无关。我们认为,以双为中心的网络为测量耦合网络中的结合和桥接资本提供了适当的数据。
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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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