Internet Communication Technologies (ICTs) have become increasingly popular for social movements of all kinds. Social movement organizations (SMOs) use them to interact and mobilize also across borders. Previous research has highlighted the opportunities for transnational networking and the resulting reduction in the importance of local dependency for SMOs. One movement that combines local direct action with the goal of an international network of activists is Antifa. Single case studies have highlighted that local demonstrations and networks are still vital for antifascist groups. However, studies that examine the influence of spatial dynamics on building an international (digital) network beyond focusing on a single country are still lacking. This study, therefore, examines the impact of proximity on forming digital connections among 355 unique European antifascist groups. Using Exponential Random Graph Modeling (ERGM), we examine the hyperlink network across Europe via the groups’ online presence. The findings reveal that the languages of the groups and the geographical distance between them are significant predictors for the probability of displayed hyperlink connections. These results demonstrate the relevance of proximity theories in the field of digital activism. The study contributes to a deeper understanding of spatial dynamics in shaping online networks, reinforcing the importance of space in contemporary network analysis in social movements studies.