青少年网络适应的拓扑结构分析:基于纵向追踪数据  

The topological structure of adolescents’internet adaptation:A longitudinal tracking study

作　　者：董王昊 张杰 孟素洁 贾敏 王伟军 DONG Wanghao;ZHANG Jie;MENG Sujie;JIA Min;WANG Weijun(Key Laboratory of Adolescent Cyberpsychology and Behavior(CCNU),Ministry of Education,Key Laboratory of Human Development and Mental Health of Hubei Province,School of Psychology,Central China Normal University,Wuhan 430079,China)

机构地区：[1]青少年网络心理与行为教育部重点实验室,人的发展与心理健康湖北省重点实验室,华中师范大学心理学院,武汉430079

出　　处：《心理学报》2025年第3期415-427,I0007-I0017,共24页Acta Psychologica Sinica

基　　金：国家自然科学基金项目(71974072)。

摘　　要：网络适应作为当代青少年成长至关重要的环节,其复杂多维的内部属性仍未得到系统探讨。本研究首次采用网络分析方法探讨青少年网络适应的核心特征、动态演变以及外部联结。横断网络分析揭示了青少年网络适应中好奇心的“双刃剑”作用,即过高或过低的好奇心均不利于网络适应的发展。网络比较结果显示,青少年的网络适应具有整体的稳定性,但其拓扑属性会发生内部流转。交叉滞后网络分析表明,网络自我效能在网络适应发展过程中起“总舵手”作用,而网络学习能力和网络信息搜索是青少年网络适应的重要“落脚点”。二元交叉滞后网络分析指出,网络信息保护对网络成瘾具有最显著的直接影响。本研究不仅为理解青少年在数字世界中的成功适应提供了全新视角,也为新时代的数字化教育实践提供了重要启示。As the saying goes,“Survival of the fittest”.Nowadays,the Internet has become a critical channel for information acquisition,social interaction,and educational learning.Adolescents’internet adaptation capabilities must be continuously improved to adapt to this rapidly developing information age.Internet adaptation is inherently a“multidimensional system”encompassing various stages and dimensions.However,there remains a gap in the research exploring the internal topological characteristics and functional mechanisms of internet adaptation.Consequently,this study aims to employ network analysis techniques to elucidate the core characteristics,internal structure,dynamic evolution,and relationships with external variables of adolescents’internet adaptation through network analysis.This approach will offer a comprehensive framework for understanding adolescents’successful adaptation in the digital age and provide scientific insights for preventing and intervening in adolescent internet addiction.This study collected all data through paper-and-pencil questionnaires.At Time 1,valid data were obtained from 5783 participants(Males for 37.4%,M_(age)=17.20 years,SD=2.62).Five months later,data from 1235 of these participants were tracked(Males for 38%,M_(age)=14.98 years,SD=1.66).Based on the research objectives,we conducted cross-sectional network analysis,network comparison,and cross-lagged network analysis.All cross-sectional and cross-lagged network analyses were primarily conducted using R(V.4.3.2).Network visualizations were created with the qgraph package(version 1.9.5).The accuracy of edge estimates was assessed by performing 1000 bootstrap iterations to construct 95%non-parametric bootstrap confidence intervals for each edge.In the cross-sectional network of internet adaptation,“Internet curiosity”is the node with the highest strength(1.18).Network comparison results indicate no significant difference in the overall strength between the T1(3.52)and the T2 network(3.79)(p=0.120),although the network

关 键 词：青少年 网络适应 网络成瘾 拓扑结构 网络分析 

分 类 号：B844.2[哲学宗教—发展与教育心理学]