Prediction of Topic Volume on Twitter

  title={Prediction of Topic Volume on Twitter},
  author={Yiye Ruan},
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 #OWS… CONTINUE READING
Highly Cited
This paper has 26 citations. REVIEW CITATIONS

From This Paper

Topics from this paper.


Publications citing this paper.
Showing 1-9 of 9 extracted citations

Twitris: A System for Collective Social Intelligence

Encyclopedia of Social Network Analysis and Mining • 2014
View 18 Excerpts
Highly Influenced

Forecasting high tide: Predicting times of elevated activity in online social media

2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) • 2015
View 1 Excerpt

Trending topic prediction on social network

2013 5th IEEE International Conference on Broadband Network & Multimedia Technology • 2013
View 1 Excerpt


Publications referenced by this paper.
Showing 1-10 of 17 references

Differences in the mechanics of information diffusion across topics : Idioms , political hashtags , and complex contagion on twit

B. Meeder D. Romero, J. Kleinberg.

Similar Papers

Loading similar papers…