Discovering Platform Government Research Trends Using Topic Modeling

  • Sun-Young Shin
  • Chang-Kyo SuhEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11815)


Platform government is a key trend in the 4th industrial revolution. This paper presents an empirical analysis of 5810 articles in the Science Direct Database yielded by a search for the keyword ‘platform government’ from 1998 to 2017. Applying topic modeling to the article abstracts identified 9 key topics that were both representative and meaningful, and essentially corresponded to established sub-fields in platform government research. Measuring the variation of topic distributions over time revealed various rising research trends, such as data analytics and IoT, and a recent increasing popularity of business and governance. The identified key topics and Korean platform government projects were also compared. In conclusion, this study attempted to improve the identification, quantification, and understanding of the themes and trends in platform government over the last 20 years in order to provide a valuable tool for researchers and government agencies to make more informed decisions.


Platform Government Topic modeling Text mining Research trends 


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Kyungpook National UniversityDaeguKorea

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