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Journal Articles
Twitter user tagging method based on burst time series
Available to Purchase
International Journal of Web Information Systems (2016) 12 (3): 292–311.
Published: 15 August 2016
... and the posting times of tweets: as users have interests, they will post more tweets at the time when events occur compared with general times. The authors assume that hashtags are labeled tags to users and observe their occurrence counts in each timestamp. The authors extract burst timestamps using Kleinberg’s...
