CMU researchers discover complex interaction patterns on Twitter and Yelp using Deep Learning

Everything in social media evolves with time; understanding the patterns of this change is essential for any social-media application. However, in terms of research on identifying interaction patterns, little was done to explore how exactly these interactions behave at multiple time scales, despite the fact that this is hugely important in practice. For example, to make a business popular on Yelp, it is important to use short-term (e.g., a few months) interactions to build and sustain long-term (e.g., a couple of years) popularity.

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