Computational Social Science

This work applies network analysis methods to social phenomena, building on interdisciplinary collaborations bridging network science with media studies, economics, and sociology.

A recurring focus is echo chamber detection: characterizing community dynamics and echo chambers on platforms such as YouTube, drawing on analyses of very large comment datasets spanning millions of comments across tens of thousands of videos.

A related direction studies the massification of large-scale online collectives, such as Wikipedia or open-source software communities: how they grow, structure themselves, and sustain participation over time, an inherently interdisciplinary question bringing together sociology, economics, and management alongside network science.

The broader ambition is to understand team and social network interactions at scale, connecting network structure to questions of information pluralism and online public debate.