Hashtag Popularity on Twitter: Analyzing Co-occurrence of Multiple Hashtags

  • Nargis Pervin
  • Tuan Quang Phan
  • Anindya Datta
  • Hideaki Takeda
  • Fujio Toriumi
Conference paper

DOI: 10.1007/978-3-319-20367-6_18

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9182)
Cite this paper as:
Pervin N., Phan T.Q., Datta A., Takeda H., Toriumi F. (2015) Hashtag Popularity on Twitter: Analyzing Co-occurrence of Multiple Hashtags. In: Meiselwitz G. (eds) Social Computing and Social Media. SCSM 2015. Lecture Notes in Computer Science, vol 9182. Springer, Cham

Abstract

Hashtags increase the reachability of a tweet to manifolds and consequently, has the potential to create a wider market for brands. The frequent use of a hashtag features it in the Twitter trending list. In this study we want to understand what contributes to the popularity of a hashtag. Further, hashtags generally come in groups in a tweet. In fact, an investigation on a real world dataset of Great Eastern Japan Earthquake reveals that 50 % of hashtags appear in a tweet with at least another hashtag. How this co-occurrence of hashtags affects its popularity is also not addressed heretofore, which is the focus herein. Results indicate that if a hashtag appears with one or more other similar hashtags, popularity of the hashtag increases. In contrast, if a hashtag appears with dissimilar hashtags, popularity of the focal hashtag decreases. The results reverse when dissimilar hashtags come along with a URL.

Keywords

Twitter Hashtag Hashtag co-occurrence Metacognitive experience 

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Nargis Pervin
    • 1
  • Tuan Quang Phan
    • 1
  • Anindya Datta
    • 1
  • Hideaki Takeda
    • 2
  • Fujio Toriumi
    • 3
  1. 1.National University of SingaporeSingaporeSingapore
  2. 2.National Institute of InformaticsTokyoJapan
  3. 3.The Tokyo UniversityTokyoJapan

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