Limited evidence for structural balance in the family

IF 1.4 Q2 SOCIAL SCIENCES, INTERDISCIPLINARY
Jonas Stein, Jornt J. Mandemakers, A. van de Rijt
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引用次数: 0

Abstract

Previous studies have shown that relationship sentiments in families follow a pattern wherein either all maintain positive relationships or there are two antagonistic factions. This result is consistent with the network theory of structural balance that individuals befriend their friends’ friend and become enemies with their friends’ enemies. Fault lines in families would then endogenously emerge through the same kinds of interactional processes that organize nations into axis and allies. We argue that observed patterns may instead exogenously come about as the result of personal characteristics or homophilous partitions of family members. Disentangling these alternate theoretical possibilities requires longitudinal data. The present study tracks the sentiment dynamics of 1,710 families in a longitudinal panel study. Results show the same static patterns suggestive of balancing processes identified in earlier research, yet dynamic analysis reveals that conflict in families is not generated or resolved in accordance with balance theory.
家庭结构平衡的证据有限
先前的研究表明,家庭中的关系情绪遵循这样一种模式:要么所有人都保持积极的关系,要么有两个对立的派别。这一结果与结构平衡的网络理论一致,即个体与朋友的朋友为友,与朋友的敌人为敌。家庭内部的断层线会通过将国家组织成轴心和盟友的相同互动过程内生地出现。我们认为,观察到的模式可能是由于个人特征或家庭成员的同源分区而外生的。解开这些交替的理论可能性需要纵向数据。本研究在纵向面板研究中追踪了1710个家庭的情绪动态。结果显示了与早期研究中发现的平衡过程相同的静态模式,但动态分析表明,家庭冲突不是根据平衡理论产生或解决的。
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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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