, Volume 109, Issue 3, pp 1761–1787 | Cite as

Subject–method topic network analysis in communication studies

  • Keeheon Lee
  • Hyojung Jung
  • Min Song


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.


Communication studies ICT Subject–method topic network analysis Text mining 



This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2015S1A3A2046711). This work was supported in part by the Yonsei University Future-leading Research Initiative of 2015 [2014-22-0116].


  1. Abad, L. (2014). Media literacy for older people facing the digital divide: The e-inclusion programmes design/Diseño de programas de e-inclusión para alfabetización mediática de personas mayores. Comunicar, 21(42), 173–180.CrossRefGoogle Scholar
  2. Antaki, C., & O’Reilly, M. (2013). Either/or questions in child psychiatric assessments: The effect of the seriousness and order of the alternatives. Discourse Studies, 16(3), 327–355.CrossRefGoogle Scholar
  3. Barnett, G. A., Huh, C., Kim, Y., & Park, H. W. (2011). Citations among communication journals and other disciplines: A network analysis. Scientometrics, 88, 449–469.CrossRefGoogle Scholar
  4. Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent Dirichlet allocation. Journal of Machine Learning Research, 3, 993–1022.zbMATHGoogle Scholar
  5. Blondel, V. D., Guillaume, J. L., Lambiotte, R., & Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment, 2008(10), P10008.CrossRefGoogle Scholar
  6. Bonacich, P. (1972). Factoring and weighting approaches to status scores and clique identification. Journal of Mathematical Sociology, 2, 113–120.CrossRefGoogle Scholar
  7. Booth, W. C., Colomb, G. G., & Williams, J. M. (2003). The craft of research. Chicago: University of Chicago Press.Google Scholar
  8. Borgatti, S. P., & Everett, M. G. (1997). Network analysis of 2-mode data. Social Networks, 19(3), 243–269.CrossRefzbMATHGoogle Scholar
  9. Borgman, C. L. (1989). All users of information retrieval systems are not created equal: An exploration into individual differences. Information Processing and Management, 25(3), 237–251.CrossRefGoogle Scholar
  10. Boyd, D. M., & Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of Computer-Mediated Communication, 13(1), 210–230.CrossRefGoogle Scholar
  11. Cabero-Almenara, J., & Marín-Díaz, V. (2014). Educational possibilities of social networks and group work. University students’ perceptions. Comunicar, 21(42), 165–172.CrossRefGoogle Scholar
  12. Calhoun, C. (2011). Communication as social science (and more). International Journal of Communication, 5, 1479–1496.Google Scholar
  13. Chen, G. M. (2009). Beyond the dichotomy of communication studies. Asian Journal of Communication, 19(4), 398–411.CrossRefGoogle Scholar
  14. Cho, C. H., & Khang, H. (2006). The state of internet-related research in communications, marketing, and advertising: 1994–2003. Journal of Advertising, 35(3), 143–163.CrossRefGoogle Scholar
  15. Chung, C. J., Barnett, G. A., Kim, K., & Lackoff, D. (2013). An analysis on communication theory and discipline. Scientometrics, 95(3), 985–1002.CrossRefGoogle Scholar
  16. Cooper, R., Potter, W., & Dupagne, M. (1994). A status report on methods used in mass communication research. Journalism Educator, 48, 54–61.CrossRefGoogle Scholar
  17. Craig, R. T. (1993). Why are there so many communication theories? Journal of Communication, 43, 26–33.CrossRefGoogle Scholar
  18. David, M. (2013). Machine learning with MALLET.
  19. Debatin, B., Lovejoy, J. P., Horn, A. K., & Hughes, B. N. (2009). Facebook and online privacy: Attitudes, behaviors, and unintended consequences. Journal of Computer-Mediated Communication, 15(1), 83–108.CrossRefGoogle Scholar
  20. Dhaenens, F. (2014). Articulations of queer resistance on the small screen. Continuum, 28(4), 520–531.CrossRefGoogle Scholar
  21. Doerfel, M. L., & Barnett, G. A. (1999). A semantic network analysis of the International Communication Association. Human Communication Research, 25(4), 589–603.CrossRefGoogle Scholar
  22. Donath, J. (2007). Signals in social supernets. Journal of Computer-Mediated Communication, 13(1), 231–251.CrossRefGoogle Scholar
  23. Donsbach, W. (2006). The identity of communication research. Journal of Communication, 56(3), 437–448.CrossRefGoogle Scholar
  24. Elphinston, R. A., & Noller, P. (2011). Time to face it! Facebook intrusion and the implications for romantic jealousy and relationship satisfaction. Cyberpsychology, Behavior, and Social Networking, 14(11), 631–635.CrossRefGoogle Scholar
  25. Feeley, T. H. (2008). A bibliometric analysis of communication journals from 2002 to 2005. Human Communication Research, 34(3), 505–520.CrossRefGoogle Scholar
  26. Fink, E. J., & Gantz, W. (1996). A content analysis of three mass communication research traditions: Social science, interpretive studies, and critical analysis. Journalism & Mass Communication Quarterly, 73(1), 114–134.CrossRefGoogle Scholar
  27. Freeman, L. C. (1979). Centrality in social networks conceptual clarification. Social Networks, 1(3), 215–239.MathSciNetCrossRefGoogle Scholar
  28. Garfield, E. (2006). The history and meaning of the journal impact factor. JAMA, 295(1), 90–93.CrossRefGoogle Scholar
  29. Gray, E. M., & Harris, A. (2015). Queer superheroes: The impossibility of difference, a neoliberal promise of equal (teacher) love. Continuum, 29(1), 97–108.CrossRefGoogle Scholar
  30. Griffin, D. J., Bolkan, S., Holmgren, J. L., & Tutzauer, F. (2016). Central journals and authors in communication using a publication network. Scientometrics, 106(1), 91–104.CrossRefGoogle Scholar
  31. Hampton, K. N., Lee, C. J., & Her, E. J. (2011). How new media affords network diversity: direct and mediated access to social capital through participation in local social settings. New Media & Society. doi: 10.1177/1461444810390342.
  32. Humphreys, L., Gill, P., & Krishnamurthy, B. (2014). Twitter: A content analysis of personal information. Information, Communication & Society, 17(7), 843–857.CrossRefGoogle Scholar
  33. Iwabuchi, K. (2010). Globalization, East Asian media cultures and their publics. Asian Journal of Communication, 20(2), 197–212.CrossRefGoogle Scholar
  34. Kamhawi, R., & Weaver, D. (2003). Mass communication research trends from 1980 to 1999. Journalism & Mass Communication Quarterly, 80(1), 7–27.CrossRefGoogle Scholar
  35. Karlsson, M., Clerwall, C., & Örnebring, H. (2015). Hyperlinking practices in Swedish online news 2007–2013: The rise, fall, and stagnation of hyperlinking as a journalistic tool. Information, Communication & Society, 18(7), 847–863.CrossRefGoogle Scholar
  36. Khang, H., Ki, E. J., & Ye, L. (2012). Social media research in advertising, communication, marketing, and public relations, 1997–2010. Journalism & Mass Communication Quarterly, 89(2), 279–298.CrossRefGoogle Scholar
  37. Kim, M. S. (2010). Intercultural communication in Asia: Current state and future prospects. Asian Journal of Communication, 20(2), 166–180.CrossRefGoogle Scholar
  38. Kim, S. T., & Weaver, D. (2002). Communication research about the Internet: A thematic meta-analysis. New Media & Society, 4(4), 518–538.CrossRefGoogle Scholar
  39. Lee, C. J., & Sohn, D. (2015). Mapping the social capital research in communication a bibliometric analysis. Journalism & Mass Communication Quarterly. doi: 10.1177/1077699015610074.
  40. Lo, V. H., & Wei, R. (2010). New media and political communication in Asia: A critical assessment of research on media and politics, 1988–2008. Asian Journal of Communication, 20(2), 264–275.CrossRefGoogle Scholar
  41. Luff, R., Byatt, D., & Martin, D. (2015). Review of the typology of research methods within the social sciences (p. 27). Southampton: University of Southampton.Google Scholar
  42. Manosevitch, E., Steinfeld, N., & Lev-On, A. (2014). Promoting online deliberation quality: Cognitive cues matter. Information, Communication & Society, 17(10), 1177–1195.CrossRefGoogle Scholar
  43. McKeever, R. (2015). Vicarious experience: Experimentally testing the effects of empathy for media characters with severe depression and the intervening role of perceived similarity. Health Communication, 30(11), 1122–1134.CrossRefGoogle Scholar
  44. McMullen, L. M., & Sigurdson, K. J. (2014). Depression is to diabetes as antidepressants are to insulin: The unraveling of an analogy? Health Communication, 29(3), 309–317.CrossRefGoogle Scholar
  45. Oxley, J. E., Rivkin, J. W., Ryall, M. D., & Strategy Research Initiative. (2010). The strategy research initiative: Recognizing and encouraging high-quality research in strategy. Strategic Organization, 8(4), 377–386.CrossRefGoogle Scholar
  46. Park, H. W., & Leydesdorff, L. (2008). Korean journals in the Science Citation Index: What do they reveal about the intellectual structure of S&T in Korea? Scientometrics, 75(3), 439–462.CrossRefGoogle Scholar
  47. Park, H. W., & Leydesdorff, L. (2009). Knowledge linkage structures in communication studies using citation analysis among communication journals. Scientometrics, 81(1), 157–175.CrossRefGoogle Scholar
  48. Peng, T. Q., Zhang, L., Zhong, Z. J., & Zhu, J. J. (2012). Mapping the landscape of Internet studies: Text mining of social science journal articles 2000–2009. New Media & Society. doi: 10.1177/1461444812462846.
  49. Potter, W. J., & Riddle, K. (2007). A content analysis of the media effects literature. Journalism & Mass Communication Quarterly, 84(1), 90–104.CrossRefGoogle Scholar
  50. Restivo, M., & Van De Rijt, A. (2014). No praise without effort: Experimental evidence on how rewards affect Wikipedia’s contributor community. Information, Communication & Society, 17(4), 451–462.CrossRefGoogle Scholar
  51. Rice, R. E., Borgman, C. L., & Reeves, B. (1988). Citation networks of communication journals, 1977–1985 cliques and positions, citations made and citations received. Human Communication Research, 15(2), 256–283.CrossRefGoogle Scholar
  52. So, C. Y. (2010). The rise of Asian communication research: A citation study of SSCI journals. Asian Journal of Communication, 20(2), 230–247.CrossRefGoogle Scholar
  53. Taipale, S., & Fortunati, L. (2014). Capturing methodological trends in mobile communication studies. Information, Communication & Society, 17(5), 627–642.CrossRefGoogle Scholar
  54. Tomasello, T. K. (2001). The status of Internet-based research in five leading communication journals, 1994–1999. Journalism & Mass Communication Quarterly, 78(4), 659–674.CrossRefGoogle Scholar
  55. Toutanova, K., Klein, D., & Manning, C. (2013). Stanford Core NLP. The Stanford Natural Language Processing Group.
  56. Trumbo, C. W. (2004). Research methods in mass communication research: A census of eight journals 1990–2000. Journalism & Mass Communication Quarterly, 81(2), 417–436.CrossRefGoogle Scholar
  57. Wilken, R. (2014). Places nearby: Facebook as a location-based social media platform. New Media & Society, 16(7), 1087–1103.CrossRefGoogle Scholar
  58. Yan, E. (2015). Research dynamics, impact, and dissemination: A topic-level analysis. Journal of the Association for Information Science and Technology, 66(11), 2357–2372.CrossRefGoogle Scholar
  59. Zhang, Y., & Leung, L. (2014). A review of social networking service (SNS) research in communication journals from 2006 to 2011. New Media & Society. doi: 10.1177/1461444813520477.Google Scholar

Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2016

Authors and Affiliations

  1. 1.Creative Technology ManagementYonsei UniversitySeoulKorea
  2. 2.Science and Technology Policy InstituteSejongKorea
  3. 3.Department of Library and Information ScienceYonsei UniversitySeoulKorea

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