青少年社交网络中浪漫伴侣提名互惠的预测因素

IF 2.9 2区社会学 Q1 ANTHROPOLOGY

Social Networks Pub Date : 2023-10-21 DOI:10.1016/j.socnet.2023.10.001

Kate Vinita Fitch , Molly Copeland , jimi adams

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引用次数: 0

摘要

网络数据独特地允许关系被多次报告，从而产生不同的关系提名回报率。然而，造成这种变化的原因尚不清楚。相互作用的变化可能反映了关于关系（如社会显著性或可取性）或研究设计（如问题措辞或上限提名）的实质性信息。我们在PROSPER研究的浪漫网络数据中检验了提名互惠的预测因素，以分析提名互惠的个体和二元预测因素。结果显示，更高的分数预示着更高的互惠性，而同性关系和行为不和谐的二人组则不太可能是互惠的。

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Predictors of romantic partner nomination reciprocity in adolescent social networks

Network data uniquely allow –relationships to be multiply reported, creating varying rates of relationship nomination reciprocation. However, what drives such variation is unclear. Variation in reciprocation may reflect substantive information about relationships (e.g., social salience or desirability) or study design (e.g., question wording or capped nominations). We examine predictors of nomination reciprocity in romantic network data from the PROSPER study to analyze individual and dyadic predictors of nomination reciprocity. Results show higher grades predict higher reciprocity, while same-sex relationships and behaviorally discordant dyads are less likely to be reciprocal.

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来源期刊

Social Networks Multiple-

CiteScore

5.90

自引率

12.90%

发文量

118

期刊介绍： Social Networks is an interdisciplinary and international quarterly. It provides a common forum for representatives of anthropology, sociology, history, social psychology, political science, human geography, biology, economics, communications science and other disciplines who share an interest in the study of the empirical structure of social relations and associations that may be expressed in network form. It publishes both theoretical and substantive papers. Critical reviews of major theoretical or methodological approaches using the notion of networks in the analysis of social behaviour are also included, as are reviews of recent books dealing with social networks and social structure.