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Theories in communication science: a structural analysis using webometrics and social network approach

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Abstract

This exploratory study analyzes the networked structure of theories in social sciences represented by co-occurrences on the World Wide Web. For this, co-occurrences of communication science theories were retrieved from the Web and analyzed using social network analysis tools. Several networks and node-level properties were measured to examine the relationships of theories in terms of co-occurrences. Communication science theories were grouped into four clusters. The results shed some important light on structural dynamics of communication science theories on the academic and social Web.

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References

  • Anderson, J. A. (1996). Communication theory: Epistemological Foundations. New York, NY: The Guilford Press.

    Google Scholar 

  • Atkin, C., & Marshall, A. (1996). Health communication. In M. B. Salwen & D. W. Stacks (Eds.), An integrated approach to communication theory and research (pp. 479–495). Mahwah, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Barnett, G. A. (2008). Scholarly communication of communication studies. In D. Wolfgang (Ed.), The international encyclopedia of communication. Blackwell Reference Online. Retrieved from http://www.blackwellreference.com/subscriber/tocnode.html?id=g9781405131995_yr2013_chunk_g978140513199524_ss137-1

  • Barnett, G. A., Huh, C., Kim, Y., & Park, H. W. (2011). Citations among communication journals and other disciplines: A network analysis. Scientometrics, 88(2), 449–469.

    Article  Google Scholar 

  • Barnett, G. A., Ruiz, J. B., & Park, H.W. (2015). Globalization or decentralization of hyperlinked content among websites: An examination of website co-citations. A paper presented to HICSS.

  • Barnett, G. A., & Thayer, L. (1997). Organization-communication, emerging perspectives V: The renaissance in systems thinking. Greenwich, CT: Ablex.

    Google Scholar 

  • Berger, C. R., Roloff, M. E., & Roskos-Ewoldsen, D. R. (2009). What is communication science. In C. R. Berger, M. E. Roloff, & D. R. Roskos-Ewoldsen (Eds.), The handbook of communication science (2nd ed., pp. 3–20). Thousand Oaks, CA: Sage.

    Google Scholar 

  • Berlo, D. K. (1960). The process of communication. New York: Holt, Reinehart, & Winston.

    Google Scholar 

  • Borgman, C. L., & Furner, J. (2002). Scholarly communication and bibliometrics. In B. Cronin (Ed.), Annual review of information science and technology (pp. 3–72). Medford, NJ: Information Today.

    Google Scholar 

  • Bornmann, L. (2014). Do altmetrics point to the broader impact of research? An overview of benefits and disadvantages of altmetrics. Journal of Informetrics, 8(4), 895–903.

    Article  Google Scholar 

  • Brousius, H.-B. (2011). Mass communication. In Oxford bibliographies. Retrieved July 30, 2014, from http://www.oxfordbibliographies.com/view/document/obo-9780199756841/obo-9780199756841-0022.xml#obo-9780199756841-0022-bibItem-0005

  • Bryant, J., & Pribanic-Smith, E. J. (2009). A historical overview of research in communication science. In C. R. Berger, M. E. Roloff, & D. R. Roskos-Ewoldsen (Eds.), The handbook of communication science (2nd ed., pp. 21–36). Thousand Oaks, CA: Sage.

    Google Scholar 

  • Callon, M., Law, L., & Rip, A. (1986). Mobilising resources through texts. In M. Callon, J. Rip, & A. Rip (Eds.), Mapping the dynamics and technology: sociology of science in the real world (pp. 84–99). London: The Macmillan Press.

    Chapter  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Chu, H., He, S., & Thewall, M. (2002). Library and information science school in Canada and USA: A webometric perspective. Journal of Education for Library and Information Science, 43(2), 110–125.

    Article  Google Scholar 

  • Chung, C. J., Barnett, G. A., Kim, K., & Lackaff, D. (2013). An analysis on communication theory and discipline. Scientometrics, 95(3), 985–1005.

    Article  Google Scholar 

  • Chung, C. J., Lee, S., Barnett, G. A., & Kim, J. H. (2009). A comparative network analysis of the Korean Society of Journalism and Communication Studies (KSJCS) and the International Communication Association (ICA) in the era of hybridization. Asian Journal of Communication, 19(2), 170–191.

    Article  Google Scholar 

  • Chung, C. J., & Park, H. W. (2012). Web visibility of scholars in media and communication journals. Scientometrics, 93(1), 207–215.

    Article  Google Scholar 

  • Craig, R. T. (1993). Why are there so many communication theories? Journal of Communication, 43(3), 26–33.

    Article  MathSciNet  Google Scholar 

  • Craig, R. T. (1999). Communication theory as a field. Communication Theory, 9(2), 119–161.

    Article  Google Scholar 

  • Crane, D. (1972). Invisible colleges. Chicago, IL: University of Chicago Press.

    Google Scholar 

  • Cutlip, S. C. (1994). The unseen power: Public relations, a history. Hillsdale, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Delgado, E., & Repiso, R. (2013). The impact of scientific journals of communication: Comparing Google Scholar metrics, Web of Science and Scopus. Comunicar, 41, 45–52.

    Article  Google Scholar 

  • Delia, J. G. (1987). Communication research: A history. In C. R. Berger & S. H. Chaffee (Eds.), Handbook of communication science (pp. 20–98). Newbury Park, CA: Sage.

    Google Scholar 

  • Dugas, A. F., Hsieh, Y. H., Levin, S. R., Pines, J. M., Mareiniss, D. P., Mohareb, A., & Rothman, R. E. (2012). Google Flu Trends: correlation with emergency department influenza rates and crowding metrics. Clinical Infectious Diseases, 54(4), 463–469.

    Article  Google Scholar 

  • Entman, R. M. (1993). Framing: Toward clarification of a fractured paradigm. Journal of Communication, 43(4), 51–58.

    Article  Google Scholar 

  • Fitch, K. L. M., & Sanders, R. E. (2005). Handbook of language and social interaction. Mahwah, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Freeman, L. C. (2004). The development of social network analysis: A study in the sociology of science. Vancouver, Canada: Empirical Press.

    Google Scholar 

  • Gillian, D. (2009). Advertising as communication. London: Methuen.

    Google Scholar 

  • Goldhaber, G. M., & Barnett, G. A. (1988). Handbook of organizational communication. Norwood, NH: Ablex.

    Google Scholar 

  • Grönlund, A. (2005). State of the art in e-Gov research: Surveying conference publications. International Journal of Electronic Government, 1(4), 1–25.

    Article  Google Scholar 

  • Gruzd, A., Staves, K., & Wilk, A. (2012). Connected scholars: Examining the role of social media in research practices of faculty using the UTAUT model. Computers in Human Behavior, 28(6), 2340–2350.

    Article  Google Scholar 

  • Hanneman, R. A., & Riddle, M. (2005). Introduction to social network methods. Riverside, CA: University of California.

    Google Scholar 

  • Hearth, R. L. (2005). Encyclopedia of public relations. Thousand Oaks, CA: Sage.

    Book  Google Scholar 

  • Huang, Y., Schuehle, J., Porter, A. L., & Youtie, J. (2015). A systematic method to create search strategies for emerging technologies based on the Web of Science. Scientometrics,. doi:10.1007/s11192-015-1638-y.

    Google Scholar 

  • Jiang, K. (2014). International student flows between Asia, Australia, and Russia: A network analysis. Journal of Contemporary Eastern Asia, 13(1), 83–98.

    Google Scholar 

  • Ke, Q., Ferrara, E., Radicchi, F., & Flammini, A. (2015). Defining and identifying Sleeping Beauties in science. Proceedings of the National Academy of Sciences of the United States of America, 112(24), 7426–7431. doi:10.1073/pnas.1424329112.

    Article  Google Scholar 

  • Kenekayoro, P., Buckley, K., & Thelwall, M. (2015). Clustering research group website homepages. Scientometrics, 102(3), 2023–2039.

    Article  Google Scholar 

  • Kim, L. (2013). Media framing of stem cell research: A cross-national analysis of political representation of science between the UK and South Korea. Journal of Science Communication, 10(3), 1–16.

    Google Scholar 

  • Kuhn, T. S. (1970). The structure of scientific revolutions. London: Chicago.

    Google Scholar 

  • Lazer, D., Kennedy, R., King, G., & Vespignani, V. (2014). The parable of Google Flu: Traps in big data analysis. Science, 343(14), 1203–1205.

    Article  Google Scholar 

  • Lee, S. (2008). Understand the nature of citation: Examination of structure in citation analysis and its application to Communication discipline in the information age. Doctoral dissertation. The State University of New York at Buffalo. Available from ProQuest Dissertation and Theses database. (UMI No. 3307596).

  • Lee, S., & Barnett, G. A. (2006). The structural change in communication between 1991 and 2005: A social and semantic network analysis of the International Communication Association. Dresden: Paper presented at the annual convention of the International Communication Association.

    Google Scholar 

  • Lee, S., Choi, J. H., & Kim, H.-W. (2010a). Semantic network analysis on the MIS research keywords: APJIS and MIS Quarterly 2005–2009. Asian Pacific Journal of Information Systems, 20(4), 25–51.

    MathSciNet  Google Scholar 

  • Lee, S. H., Kim, P. J., Ahn, Y. Y., & Jeong, H. (2010b). Googling social interactions: Web search engine based social network construction. PLoS One, 5(7), e11233. doi:10.1371/journal.pone.0011233.

    Article  Google Scholar 

  • Lee, S., Kim, J. H., & Rosen, D. (2009). A semantic network and categorical content analysis of Internet and online media. The Open Communication Journal, 3, 15–28.

    Article  Google Scholar 

  • Leydesdorff, L. (1998). Theories of citation. Scientometrics, 43, 5–25.

    Article  Google Scholar 

  • Leydesdorff, L. (2007). Betweenness centrality as an indicator of the interdisciplinary of scientific journals. Journal of the American Society for Information Science, 58(9), 1303–1319.

    Article  Google Scholar 

  • Lievrouw, L. A., Rogers, E. M., Lowe, C. H., & Nadel, E. (1987). Triangulation as a research strategy for identifying invisible colleges among biomedical scientists. Social Network, 9, 217–248.

    Article  Google Scholar 

  • Littlejohn, S. W., & Foss, K. A. (2009). Encyclopedia of communication theory. Thousand Oaks, CA: Sage.

    Book  Google Scholar 

  • Littlejohn, S. W., & Foss, K. A. (2010). Theory of human communication. CA, USA: Thomson Higher Education.

    Google Scholar 

  • Liu, X., Bollen, J., Nelson, M. L., & Van de Sompel, H. (2005). Co-authorship networks in the digital library research community. Information Processing and Management, 41(6), 1462–1480.

    Article  Google Scholar 

  • Marsden, P. V. (2008). Network data and measurement. London: Sage.

    Google Scholar 

  • McPhee, R. D., & Zaug, P. (2001). Organizational theory, organizational communication, organizational knowledge, and problematic integration. Journal of Communication, 51(3), 574–591.

    Article  Google Scholar 

  • McQuail, D. (2010). McQuail’s mass communication theory. London, UK: Sage Publication Ltd.

    Google Scholar 

  • Morris, M., & Ogan, C. (1996). The Internet as mass medium. Journal of Communication, 46(1), 39–50.

    Article  Google Scholar 

  • Olson, D. R., Konty, K. J., Paladini, M., Viboud, C., & Simonsen, L. (2013). Reassessing Google Flu Trends data for detection of seasonal and pandemic influenza: A comparative epidemiological study at three geographic scales. PLoS Computational Biology, 9(10), e1003256.

    Article  Google Scholar 

  • Park, H. W. (2010). Mapping the e-science landscape in South Korea using the webometrics method. Journal of Computer-Mediated Communication, 15, 211–229.

    Article  Google Scholar 

  • Park, H. W. (Ed.). (2011). Introduction to internet social media: Theories and cases. Gyeongsan: Yeungnam University Press. (Korean).

    Google Scholar 

  • Park, H. W. (2014). Mapping election campaigns through negative entropy: Triple and Quadruple Helix approach to South Korea’s 2012 presidential election. Scientometrics, 99(1), 187–197.

    Article  Google Scholar 

  • Park, H. W., & Leydesdorff, L. (2009). Knowledge linkage structure in communication studies using citation analysis among communication journals. Scientometrics, 81(1), 157–175.

    Article  Google Scholar 

  • Reardon, K. K., & Rogers, E. M. (1988). Interpersonal versus mass media communication: A false dichotomy. Human Communication Research, 15(2), 284–303.

    Article  Google Scholar 

  • Redding, W. C., & Tompkins, P. K. (1988). Organizational communication: Past and present tenses. In G. M. Goldhaber & G. A. Barnett (Eds.), Handbook of organizational communication (pp. 5–33). Norwood, NJ: Ablex.

    Google Scholar 

  • Rogers, C. R., & Chaffee, S. (1988). Bridging the communication gap. Human Communication Research, 15(2), 311–318.

    Article  Google Scholar 

  • Roloff, M. E (1981). Interpersonal communication. In Oxford bibliographies. Retrieved July 30, 2014, from http://www.oxfordbibliographies.com/view/document/obo-9780199756841/obo-9780199756841-0001.xml

  • Scholl, H. J. (2006). Is E-government research a flash in the pan or here for the long short? Electronic Government (pp. 13–24). Berlin, Heidelberg: Springer.

    Chapter  Google Scholar 

  • Smith, M. A. (2015). Catalyzing social media scholarship with open tools and data. Journal of Contemporary Eastern Asia, 14(2)

  • Smith, M. A., Milic-Frayling, N., Shneiderman, B., Rodrigues, E. M., & Leskovec, J. (2010). NodeXL: A free and open network overview, discovery and exploration add-in for Excel 2007/2010. Belmont: Social Media Research Foundation.

    Google Scholar 

  • Tai, Z. (2009). The structure of knowledge and dynamics of scholarly communication in agenda setting research, 1996–2005. Journal of Communication, 59(2), 481–513.

    Article  Google Scholar 

  • Thelwall, M. (2008). Bibliometircs to webometrics. Journal of Information Science, 34(8), 605–621.

    Article  Google Scholar 

  • Thelwall, M. (2009). Introduction to webometircs. New York: Morgan & Claypool.

    Google Scholar 

  • Treadwell, D. F. (2006). Situating communication studies: A study in academic boundaries. Journal of Human Subjectivity, 4(2), 95–116.

    Google Scholar 

  • Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538.

    Article  Google Scholar 

  • Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications. New York: Cambridge University Press.

    Book  MATH  Google Scholar 

  • Wiener, N. (1948). Cybernetics, or control and communication in the animal and machine. New York: Wiley.

    Google Scholar 

  • Wiener, N. (1950). The human use of human being: Cybernetics and society. Boston: Houghton Mifflin.

    Google Scholar 

  • Xu, W. W., & Feng, M. (2015). Networked creativity on the censored web 2.0: Chinese users’ Twitter-based activities on the issue of internet censorship. Journal of Contemporary Eastern Asia, 14(1), 23–43.

    Article  Google Scholar 

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Khan, G.F., Lee, S., Park, J.Y. et al. Theories in communication science: a structural analysis using webometrics and social network approach. Scientometrics 108, 531–557 (2016). https://doi.org/10.1007/s11192-015-1822-0

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