Retweet Predictive Model for Predicting the Popularity of Tweets

  • Nelson Oliveira
  • Joana CostaEmail author
  • Catarina Silva
  • Bernardete Ribeiro
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 942)


Nowadays, Twitter is one of the most used social networks with over 1.3 billion users. Twitter allows its users to write messages called tweets that now can contain up to 280 characters, having recently increased from 140 characters. Retweeting is Twitter’s key mechanism of information propagation. In this paper, we present a study on the importance of different text features in predicting the popularity of a tweet, e.g., number of retweets, as well as the importance of the user’s history of retweets. The resulting Retweet Predictive Model takes into account different types of tweets, e.g, tweets with hashtags and URLs, among the used popularity classes. Results show there is a strong relation between specific features, e.g, user’s popularity.


Twitter Popularity prediction Retweeting 


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Nelson Oliveira
    • 2
  • Joana Costa
    • 1
    • 2
    Email author
  • Catarina Silva
    • 1
    • 2
  • Bernardete Ribeiro
    • 2
  1. 1.School of Technology and ManagementPolytechnic Institute of LeiriaLeiriaPortugal
  2. 2.Department of Informatics EngineeringCenter for Informatics and Systems of the University of Coimbra (CISUC)CoimbraPortugal

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