{"title":"网络攻击与离线攻击的不同结构及其预测因素：一种网络分析方法。","authors":"Wenfeng Zhu, Yujing Zhang, Lianlian Yang, Xue Tian, Lingxiang Xia","doi":"10.1177/21522715251360547","DOIUrl":null,"url":null,"abstract":"<p><p>Online aggression is a serious social problem in the Internet era, which seriously threatens the physical and mental health of individuals. Exploring how online aggression differs from offline aggression can help us develop targeted prevention and intervention measures. However, the basic difference between online aggression and traditional offline aggression remains unclear. This study tried to address the issues from the perspective of structure and predictors by using network analysis in 1,009 Chinese college students. The dimensions of online and traditional offline aggression were utilized to detect the community. And incorporate individual and situational predictors as nodes for network analysis. The results showed that the nodes of Cyber-Aggression Typology Questionnaire and Buss Perry Aggression Questionnaire were divided into two distinct communities. The edge-weight bootstrapped difference test showed that callous-unemotional traits, trait anger, empathy, and guilt were only associated with offline aggression. Furthermore, moral disengagement and social exclusion were more closely associated with offline aggression than online aggression, while violent attitude was more associated with online aggression. These findings support and expand the Barlett and Gentile Cyberbullying Model, enhancing our comprehension of both offline and online aggression, and providing inspiration for prevention and intervention in offline and online aggression in the future.</p>","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":" ","pages":"559-565"},"PeriodicalIF":3.9000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Different Structure and Predictors of Online Aggression and Offline Aggression: A Network Analysis Approach.\",\"authors\":\"Wenfeng Zhu, Yujing Zhang, Lianlian Yang, Xue Tian, Lingxiang Xia\",\"doi\":\"10.1177/21522715251360547\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Online aggression is a serious social problem in the Internet era, which seriously threatens the physical and mental health of individuals. Exploring how online aggression differs from offline aggression can help us develop targeted prevention and intervention measures. However, the basic difference between online aggression and traditional offline aggression remains unclear. This study tried to address the issues from the perspective of structure and predictors by using network analysis in 1,009 Chinese college students. The dimensions of online and traditional offline aggression were utilized to detect the community. And incorporate individual and situational predictors as nodes for network analysis. The results showed that the nodes of Cyber-Aggression Typology Questionnaire and Buss Perry Aggression Questionnaire were divided into two distinct communities. The edge-weight bootstrapped difference test showed that callous-unemotional traits, trait anger, empathy, and guilt were only associated with offline aggression. Furthermore, moral disengagement and social exclusion were more closely associated with offline aggression than online aggression, while violent attitude was more associated with online aggression. These findings support and expand the Barlett and Gentile Cyberbullying Model, enhancing our comprehension of both offline and online aggression, and providing inspiration for prevention and intervention in offline and online aggression in the future.</p>\",\"PeriodicalId\":10872,\"journal\":{\"name\":\"Cyberpsychology, behavior and social networking\",\"volume\":\" \",\"pages\":\"559-565\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2025-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cyberpsychology, behavior and social networking\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1177/21522715251360547\",\"RegionNum\":2,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/8/8 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, SOCIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cyberpsychology, behavior and social networking","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1177/21522715251360547","RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/8/8 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"PSYCHOLOGY, SOCIAL","Score":null,"Total":0}
The Different Structure and Predictors of Online Aggression and Offline Aggression: A Network Analysis Approach.
Online aggression is a serious social problem in the Internet era, which seriously threatens the physical and mental health of individuals. Exploring how online aggression differs from offline aggression can help us develop targeted prevention and intervention measures. However, the basic difference between online aggression and traditional offline aggression remains unclear. This study tried to address the issues from the perspective of structure and predictors by using network analysis in 1,009 Chinese college students. The dimensions of online and traditional offline aggression were utilized to detect the community. And incorporate individual and situational predictors as nodes for network analysis. The results showed that the nodes of Cyber-Aggression Typology Questionnaire and Buss Perry Aggression Questionnaire were divided into two distinct communities. The edge-weight bootstrapped difference test showed that callous-unemotional traits, trait anger, empathy, and guilt were only associated with offline aggression. Furthermore, moral disengagement and social exclusion were more closely associated with offline aggression than online aggression, while violent attitude was more associated with online aggression. These findings support and expand the Barlett and Gentile Cyberbullying Model, enhancing our comprehension of both offline and online aggression, and providing inspiration for prevention and intervention in offline and online aggression in the future.
期刊介绍：
Cyberpsychology, Behavior, and Social Networking is a leading peer-reviewed journal that is recognized for its authoritative research on the social, behavioral, and psychological impacts of contemporary social networking practices. The journal covers a wide range of platforms, including Twitter, Facebook, internet gaming, and e-commerce, and examines how these digital environments shape human interaction and societal norms.
For over two decades, this journal has been a pioneering voice in the exploration of social networking and virtual reality, establishing itself as an indispensable resource for professionals and academics in the field. It is particularly celebrated for its swift dissemination of findings through rapid communication articles, alongside comprehensive, in-depth studies that delve into the multifaceted effects of interactive technologies on both individual behavior and broader societal trends.
The journal's scope encompasses the full spectrum of impacts—highlighting not only the potential benefits but also the challenges that arise as a result of these technologies. By providing a platform for rigorous research and critical discussions, it fosters a deeper understanding of the complex interplay between technology and human behavior.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
