Subject–method topic network analysis in communication studies

Keeheon Lee, Hyojung Jung, Min Song

Research output: Contribution to journalArticlepeer-review

25 Citations (Scopus)


Communication studies depend on information and communication technology (ICT) and the behavior of people using the technology. ICT enables individuals to transfer information quickly via various media. Social changes are occurring rapidly and their studies are growing in number. Thus, a tool to extract knowledge to comprehend the quickly changing dynamics of communication studies is required. We propose a subject–method topic network analysis method that integrates topic modeling analysis and network analysis to understand the state of communication studies. Our analysis focuses on the relationships between topics classified as subjects and methods. From the relationships, we examine the societal and perspective changes relative to emerging media technologies. We apply our method to all papers listed in the Journal Citation Reports Social Science Citation Index as communication studies between 1990 and 2014. The study results allow us to identify popular subjects, methods, and subject–method pairs in proportion and relation.

Original languageEnglish
Pages (from-to)1761-1787
Number of pages27
Issue number3
Publication statusPublished - 2016 Dec 1

Bibliographical note

Publisher Copyright:
© 2016, Akadémiai Kiadó, Budapest, Hungary.

All Science Journal Classification (ASJC) codes

  • General Social Sciences
  • Computer Science Applications
  • Library and Information Sciences


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