Linking Models for Collective Attention in Social Media
Social networks are ubiquitous in the modern world for propagating and acquiring information. Thus, understanding and predicting the popularity of online information is an important problem. Considerable progress has been made recently in data-driven predictions, and in linking popularity to various external factors. Most of the work on popularity prediction and understanding is either based on learning a variety of features from full network data or using generative processes to model the...[Show more]
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