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Most social network analysis works at the level of interactions betweenusers. But the vast growth in size and complexity of social networks enables usto examine interactions at larger scale. In this work we use a dataset of 76Msubmissions to the social network Reddit, which is organized into distinctsub-communities called subreddits. We measure the similarity between entiresubreddits both in terms of user similarity and topical similarity. Our goal isto find community pairs with similar userbases, but dissimilar content; werefer to this type of relationship as a "latent interest." Detection of latentinterests not only provides a perspective on individual users as they shiftbetween roles (student, sports fan, political activist) but also gives insightinto the dynamics of Reddit as a whole. Latent interest detection also haspotential applications for recommendation systems and for researchers examiningcommunity evolution.

What do Vegans do in their Spare Time? Latent Interest Detection in Multi-Community Networks