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Discovering Emerging Topics in Social Streams via Link-Anomaly Detection
2014
IEEE Transactions on Knowledge and Data Engineering
Detection of emerging topics are now receiving renewed interest motivated by the rapid growth of social networks. Conventional term-frequency-based approaches may not be appropriate in this context, because the information exchanged are not only texts but also images, URLs, and videos. We focus on the social aspects of theses networks. That is, the links between users that are generated dynamically intentionally or unintentionally through replies, mentions, and retweets. We propose a
doi:10.1109/tkde.2012.239
fatcat:illyjvwmrvcytcovvsnbaztcwe