Abstract
This article describes the results of a network analysis based on the citation among Communication journals and those academic disciplines that are cited by those journals labeled as “Communication” by the Web of Science. The results indicate that the journals indexed solely as Communication rather than those also tagged as another social science are more central in the citation network. Further, a cluster analysis of the cited disciplines revealed three groupings, a micro psychological cluster, a macro socio-political group and a woman’s studies clique. A two-mode network analysis found that the most central Communication journals cited multiple clusters, while the peripheral journals cited only one, suggesting that the structure of influence on the field of Communication is more complex than suggested by Park and Leydesdorff (Scientometrics 81(1):157–175, 2009). Also, the results indicate that the macro cluster is about twice as influential as the micro cluster, rather than as Park and Leydesdorff suggest that Psychology is the discipline’s primary influence.
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References
Barnett, G. A., & Danowski, J. A. (1992). The structure of communication: A network analysis of the International Communication Association. Human Communication Research, 19, 264–285.
Barnett, G. A., Danowski, J. A., Feeley, T. H., & Stalker, J. (2010). Measuring quality in communication doctoral education using network analysis of faculty-hiring patterns. Journal of Communication, 60, 388–411.
Berger, C. R., & Chaffee, S. (1988). Bridging the communication gap. Human Communication Research, 15(2), 311–318.
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.
Bonacich, P. (1972). Factoring and weighting approaches to status scores and clique identification. Journal of Mathematical Sociology, 2, 113–120.
Borgatti, S. P. (2005). Netdraw network visualization. Harvard, MA: Analytic Technologies.
Borgatti, S. P., Everett, M. G., & Freeman, L. C. (2002). UCINET for Windows: Software for social network analysis. Harvard, MA: Analytic Technologies.
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.
Craig, R. T. (1993). Why are there so many communication theories? Journal of Communication, 43(3), 26–33.
Craig, R. T. (1999). Communication theory as a field. Communication Theory, 9(2), 119–161.
Delia, J. G. (1987). Communication research: A history. In S. H. Chaffee & C. R. Berger (Eds.), The handbook of communication science (pp. 20–98). Bevery Hills, CA: Sage.
Freeman, L. C. (1979). Centrality in social networks: Conceptual clarification. Social Networks, 1, 215–239.
Freeman, I. (2004). The developmental of social network analysis: A study of the sociology of science. Vancouver: Empirical Press.
Garfield, E. (1979). Citation indexing: Its theory and application in science, technology and humanities. New York: Wiley.
Garfield, E. (2006). Citation indexes for science. A new dimension in documentation through association of ideas. International Journal of Epidemiology, 35, 1123–1127.
Johnson, S. C. (1967). Hierarchical clustering schemes. Psychometrika, 32, 241–254.
Leydesdorff, L. (1998). Theories of citation. Scientometrics, 43, 5–25.
Leydesdorff, L. (2007). “Betweenness centrality” as an indicator of the “interdisciplinarity” of scientific journals. Journal of the American Society for Information Science and Technology, 58(9), 1303–1309.
Lievrouw, L. A., Rogers, E. M., Lowe, C. U., & Nadel, E. (1987). Triangulation as a research strategy for identifying invisible colleges among biomedical scientists. Social Networks, 9, 217–248.
Monge, P. R., & Contractor, N. S. (2003). Theories of communication networks. New York: Oxford University Press.
Park, H. W., & Leydesdorff, L. (2009). Knowledge linkage structures in communication studies using citation analysis among communication journals. Scientometrics, 81(1), 157–175.
Parker, E. B., Paisley, W., & Garrett, R. (1967). Bibliographic citations as unobtrusive measures of scientific communication. Stanford, CA: Institute for Communication Research, Stanford University.
Reeves, B., & Borgman, C. L. (1983). A bibliometric evaluation of core journals in communication research. Human Communication Research, 10, 119–136.
Rice, R. E., Borgman, C. L., & Reeves, R. (1988). Citation networks of communication journals, 1977–1985: Cliques and positions, citations made and citations received. Human Communication Research, 15(2), 256–283.
Rogers, E. M. (1994). A history of communication study: A biographical approach. New York: Free Press.
Rogers, E. M., & Chaffee, S. H. (1983). Communication as an academic discipline: Dialogue. Journal of Communication, 33, 18–30.
Rogers, E. M., & Kincaid, D. L. (1981). Communication networks: Toward a new paradigm for research. New York: Free Press.
So, C. Y. K. (1988). Citation patterns of core communication journals: An assessment of the developmental status of communication. Human Communication Research, 15(2), 236–255.
Stephen, T., & Geel, R. (2007). Normative publication productivity of communication scholars at selected career milestones. Human Communication Research, 33, 103–118.
Wiemann, J. M., Hawkins, R. P., & Pingree, S. (1988). Fragmentation in the field—and the movement toward integration in communication science. Human Communication Research, 15, 304–310.
Woelfel, J. & Fink, E. L. (1980). The measurement of communication process: Galileo theory and methods. New York: Academic.
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Barnett, G.A., Huh, C., Kim, Y. et al. Citations among communication journals and other disciplines: a network analysis. Scientometrics 88, 449–469 (2011). https://doi.org/10.1007/s11192-011-0381-2
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DOI: https://doi.org/10.1007/s11192-011-0381-2