Prediction of Topic Volume on Twitter

@inproceedings{Ruan2012PredictionOT,
  title={Prediction of Topic Volume on Twitter},
  author={Yiye Ruan},
  year={2012}
}
All Rights Reserved by Authors, 2012. Work sponsored by NSF SoCS Grant IIS-1111118 and IIS-1111182 titled as “Social Media Enhanced Organizational Sensemaking in Emergency Response” A tweet is considered relevant to a specific topic if its text contain one or more pre-defined keyword(s) or hashtag(s) representing the topic. For example, with reference to the Occupy Wall Street movement: • “CEO pay still going up, way upwhile middle class stagnates and poverty increases nyti.ms/KKfTlc #OWS… CONTINUE READING
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Differences in the mechanics of information diffusion across topics : Idioms , political hashtags , and complex contagion on twit

B. Meeder D. Romero, J. Kleinberg.
2011

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