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

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.