#Bieber + #Blast = #BieberBlast: Early Prediction of Popular Hashtag Compounds

@article{Maity2015Bieber,
  title={\#Bieber + \#Blast = \#BieberBlast: Early Prediction of Popular Hashtag Compounds},
  author={Suman Kalyan Maity and Ritvik Saraf and Animesh Mukherjee},
  journal={Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work \& Social Computing},
  year={2015}
}
Compounding of natural language units is a very common phenomena. In this paper, we show, for the first time, that Twitter hashtags which, could be considered as correlates of such linguistic units, undergo compounding. We identify reasons for this compounding and propose a prediction model that can identify with 77.07% accuracy if a pair of hashtags compounding in the near future (i.e., 2 months after compounding) shall become popular. At longer times T = 6, 10 months the accuracies are 77.52… 

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