From warnings to bans: The role of social networks in the severity of sanctions

IF 2.9 2区 社会学 Q1 ANTHROPOLOGY Social Networks Pub Date : 2025-02-14 DOI:10.1016/j.socnet.2025.02.001
Mélina Girard, David Décary-Hétu
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引用次数: 0

Abstract

This study examines the influence of social networks on the severity of sanctions in an online hacking forum, using a leaked dataset containing private interactions, reputation points, and administrative actions. Applying social identity theory, power structure, and social capital concepts to social network analysis, we find that members who committed spam, lacked bidirectional relationships with admins, and were less integrated and influential were more likely to be banned than warned. Our findings highlight the significant role of social ties and individual behaviors in determining sanctions, offering new insights into the dynamics of illicit online communities.
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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.
期刊最新文献
From warnings to bans: The role of social networks in the severity of sanctions Editorial Board Digital communication and tie formation amongst freshmen students during and after the pandemic Corrigendum to “Impact of methods for reducing respondent burden on personal network structural measures” [Soc. Netw. 29 (2007) 300–315] Revising the Borgatti-Everett core-periphery model: Inter-categorical density blocks and partially connected cores
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