大流行期间和之后新生之间的数字通信和关系形成

IF 2.9 2区 社会学 Q1 ANTHROPOLOGY
Judith Gilsbach , Johannes Stauder
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引用次数: 0

摘要

本研究考察了新冠疫情期间和之后社会学大一新生的网络演变,作为数字化传播影响的自然实验。第一个被调查的队列(N = 42)于2020年10月在封锁期间开始学习,当时所有课程都是在线授课(封锁队列)。第二批(N = 66)开始于一年后,当时封锁措施部分解除,大部分课程采用混合模式(混合队列)。我们使用随机因子导向模型(SAOM)进行模型估计;由于参与者不响应而导致的缺失关系使用基于saom的过程进行多重估算。研究结果表明:(1)封锁队列学生之间的网络发展速度较慢,在第一学期结束时密度较低;(2)封锁队列中三合一封闭的概率显著低于混合队列;(3)在两个队列中,如果学生共享班级,他们更倾向于认识,但(4)共享班级对封锁期间的关系形成更重要。我们的结论是,数字通信将减少结交新朋友和新朋友的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital communication and tie formation amongst freshmen students during and after the pandemic
This study examines the network evolution among sociology freshmen students during and after the Covid-19 pandemic as a natural experiment on the impacts of digitalised communication. The first surveyed cohort (N = 42) began their studies under lockdown in October 2020, when all classes were taught online (lockdown cohort). The second cohort (N = 66) started one year later when the lockdown measures were released partly and most classes were taught in a hybrid mode (hybrid cohort). We use Stochastic Actor-Oriented Models (SAOM) for model estimation; missing relations due to actor non-response are multiply imputed using SAOM-based procedures. The findings show (1) that the network among students of the lockdown cohort developed slower and reached a lower density at the end of the first term, (2) that the probability of triadic closure was significantly lower in the lockdown than in the hybrid cohort and (3) that in both cohorts, students have a stronger tendency to get acquainted if they share classes, but (4) that shared classes were more important for tie formation during lockdown. We conclude that digital communication will mitigate the opportunities to make new acquaintances and friends.
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来源期刊
Social Networks
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.
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