Digital communication and tie formation amongst freshmen students during and after the pandemic

IF 2.4 2区 社会学 Q1 ANTHROPOLOGY Social Networks Pub Date : 2025-05-01 Epub Date: 2025-01-10 DOI:10.1016/j.socnet.2024.12.002
Judith Gilsbach , Johannes Stauder
{"title":"Digital communication and tie formation amongst freshmen students during and after the pandemic","authors":"Judith Gilsbach ,&nbsp;Johannes Stauder","doi":"10.1016/j.socnet.2024.12.002","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"81 ","pages":"Pages 53-66"},"PeriodicalIF":2.4000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Social Networks","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378873324000728","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/10 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ANTHROPOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
大流行期间和之后新生之间的数字通信和关系形成
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。
求助全文
约1分钟内获得全文 去求助
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.
期刊最新文献
Networked philanthropy during COVID-19: A case study of community brokerage in Hong Kong Beyond linearity and time-homogeneity: Relational hyper event models with time-varying non-linear effects Understanding the personal networks of people experiencing homelessness in King County, WA with aggregate relational data Working together through the storm: The role of task performance in a collaborative emergent multiorganizational disaster response network A hybrid mixed methods design for understanding decision making, social structure, and network dynamics of life course transitions
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1