Abstract
This study employs social network analysis to describe the structure of collaboration among Fellows of the International Communication Association (ICA), an elite group of social scientists, using co-authorship data gathered from Google Scholar. Network analysis revealed that fellows were loosely connected, consistent with past research on elite scholars. Although the association is “international,” over 80% of its members were educated and over 75% were most recently employed in the United States. However, North America did not significantly predict network centrality. No differences in network centrality were observed based on the status of being a former ICA President. Males tended to be slightly more central than females. Unlike for the ICA membership as a whole, Fellows were not differentiated into separate research communities. Furthermore, Fellows have conducted little international collaboration. These results are discussed in terms of the prior literature and its shortcomings.
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References
Abbasi, A., Hossain, L., Uddin, S., & Rasmussen, K. J. R. (2011). Evolutionary dynamics of scientific collaboration networks: Multi-levels and cross-time analysis. Scientometrics, 89(2), 687–710.
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.
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.
Barnett, G. A., & Rice, R. E. (1985). Network analysis in Riemann space: Applications of the Galileo System to social networks. Social Networks, 7, 287–322.
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, P10008.
Bordons, M., & Gómez, I. (2000). Collaboration networks in science. In B. Cronin & H. B. Atkins (Eds.), The web of knowledge: A Festschrift in Honor of Eugene Garfield (pp. 197–213). Information Today.
Borgatti, S. P., Everett, M. G. & Freeman, L. C. (2002). UCINET for Windows: Software of Social Network Analysis. Harvard, MA: Analytic Technologies.
Bunz, U. (2005). Publish or perish: A limited author analysis of ICA and NCA journals. Journal of Communication, 55(4), 703–720. https://doi.org/10.1111/j.1460-2466.2005.tb03018.x
Calma, A., & Davies, W. (2017). Geographies of influence: A citation network analysis of Higher Education 1972–2014. Scientometrics, 110(3), 1579–1599.
Chan, H. F., Frey, B. S., Gallus, J., & Torgler, B. (2014). Academic honors and performance. Labour Economics, 31, 188–204.
Chan, H. F., & Torgler, B. (2020). Gender differences in performance of top cited scientists by field and country. Scientometrics, 125(3), 2421–2447. https://doi.org/10.1007/s11192-020-03733-w
Doerfel, M. L., & Barnett, G. A. (1999). A comparison of the semantic and affiliation networks of the International Communication Association. Human Communication Research, 25(4), 589–603.
Economist (2021). Noblesse oblige. Economist, October 9, 2021, 85.
Fiala, D., & Dostál, M. (2021). Are papers asking questions cited more frequently in Computer Science? Computers., 10(96), 1–10.
Freeman, L. C. (1979). Centrality in social networks: Conceptual clarification. Social Networks, 1, 215–239.
Gui, Q., Liu, C., & Du, D. (2019). Globalization of science and international scientific collaboration: A network perspective. Geoforum, 105, 1–12. https://doi.org/10.1016/j.geoforum.2019.06.017
Harzing, A.-W. (2014). A longitudinal study of Google Scholar coverage between 2012 and 2013. Scientometrics, 98, 565–575. https://doi.org/10.1007/s11192-013-0975-y
Holland, P. W., & Leinhardt, S. (1975). Local structure in social networks. In D. R. Heise (Ed.), Sociological methodology—1976 (pp. 1–45). Jossey-Bass.
Jiang, K., & Barnett, G. A. (2018). The structure of the International Communication Association–2016: A network analysis. In D. T. Scott & A. Shaw (Eds.), Interventions: Communication Theory and Practice, International Communication Association, Annual Conference Theme Book Series (Vol. 5, pp. 31–52). Peter Lang.
Kim, H., & Barnett, G. A. (2008). Social network analysis using author Co-citation data. AMCIS 2008 Proceedings, 172. http://aisel.aisnet.org/amcis2008/172.
Knobloch-Westerwick, S., & Glynn, C. J. (2013). The Matilda effect—Role congruity effects on scholarly communication: A citation analysis of Communication Research and Journal of Communication articles. Communication Research, 40(1), 3–26. https://doi.org/10.1177/0093650211418339
Kousha, K., Thelwall, M., & Rezaie, S. (2010). Using the web for research evaluation: The Integrated Online Impact indicator. Journal of Informetrics, 4(1), 124–135.
Lebuda, I., & Karwowski, M. (2016). Written on the writer’s face: Facial width-to-height ratio among nominees and laureates of the Nobel Prize in literature. Creative Research Journal, 28, 207–211. https://doi.org/10.1080/10400419.2016.1162572
Lee, S. J., & Barnett, G. A. (2006). The structural change in Communication between 1991 and 2005: A social and semantic network analysis of the International Communication Association. In 56th Annual Conference of the International Communication Association, Dresden, Germany.
Mayer, V., Press, A., Verhoeven, D., & Sterne, J. (2018). How do we intervene in the stubborn persistence of patriarchy in communication scholarship? In D. T. Scott & A. Shaw (Eds.), Interventions: Communication theory and practice (pp. 53–82). Peter Lang Publishing.
Newman, M. E. J. (2004). Detecting community structure in networks. Physical Review E, 69(2), 6–113.
Nunkooa, R., Thelwall, M., Ladsawuta, J., & Goolaupc, S. (2020). Three decades of tourism scholarship: Gender, collaboration and research methods. Tourism Management, 78, 104056.
Park, H. W. (2020). A new era of quality & quantity: International journal of methodology—Collaborate or fall behind. Quality & Quantity, 54(1), 1–2.
Park, H.J., & Park, H.W. (2021). Global-level relationships of international student mobility and research mentions on social media. EL PROFESIONAL DE LA INFORMACIÓN, 30(2), e300214. 1–11.
Pečarić, D., & Tuđman, M. (2016). Co-authorship networks of scientific elite: Case study of information science in Croatia. Qualitative and Quantitative Methods in Libraries, 5(1), 49–59.
Schoch, D., Valente, T. W., & Brandes, U. (2017). Correlations among centrality indices and a class of uniquely ranked graphs. Social Networks, 50, 46–54.
Smith, R. A., & Brown, M. G. (2021). Far beyond postsecondary: Longitudinal analyses of topical and citation networks in the field of Higher Education Studies. The Review of Higher Education, 44(2), 237–264.
So, M., Kim, J., Choi, S., & Park, H. W. (2015). Factors affecting citation networks in science and technology: Focused on non-quality factors. Quality & Quantity., 49(4), 1513–1530.
Thelwall, M. (2020). Female citation impact superiority 1996–2018 in six out of seven English-speaking nations. Journal of Association for Information Science and Technology., 71(8), 979–990.
Uddin, S., Hossain, L., Abbasi, A., & Rasmussen, K. (2012). Trend and efficiency analysis of co-authorship network. Scientometrics, 90(2), 687–699.
Uddin, S., Hossain, L., & Rasmussen, K. (2013). Network effects on scientific collaborations. PLoS ONE, 8(2), e57546. https://doi.org/10.1371/journal.pone.0057546
Uzzi, B., Mukherjee, S., Stringer, M., & Jones, B. F. (2013). Atypical combinations and scientific impact. Science, 342(6157), 468–472.
Valente, T. W., Coronges, K., Lakon, C., & Costenbader, E. (2008). How correlated are network centrality measures? Connections, 28(1), 16–26.
Van Eck, N. J., & Waltman, L. (2011). Text mining and visualization using VOSviewer. ISSI Newsletter, 7(3), 50–54.
Vieira, E. S., Cerdeira, J., & Teixeira, A. A. C. (2022). Which distance dimensions matter in international research collaboration? A cross-country analysis by scientific domain. Journal of Informetrics, 16(2), 1259. https://doi.org/10.1016/j.joi.2022.101259
Wagner, C. S., Horlings, E., Whetsell, T. A., Mattsson, P., & Nordqvist, K. (2015). Do nobel laureates create prize-winning networks? An analysis of collaborative research in Physiology. PLoS ONE, 10(8), e0136478. https://doi.org/10.1371/journal.pone.0136478
Wang, X., Dworkin, J. D., Zhou, D., Stiso, J., Falk, E. B., Bassett, D. S., Zurn, P., & Lydon-Staley, D. M. (2021). Gendered citation practices in the field of communication. Annals of the International Communication Association, 45(2), 134–153. https://doi.org/10.1080/23808985.2021.1960180
Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications. Cambridge University Press.
Wuchty, S., Jones, B. F., & Uzzi, B. (2007). The increased dominance of teams in production of knowledge. Science, 316(5827), 1036–1039.
www.icahdq.org/page/Bylaws. Downloaded August 31, 2021.
Zuckerman, H. (1970). Stratification in American science. Sociological Inquiry, 40(2), 235–257. https://doi.org/10.1111/j.1475-682X.1970.tb01010.x
Acknowledgement
An earlier draft of this manuscript was presented virtually to the International Communication Association, Paris, in May 2022. The authors would like to thank Hwa-Yong Song, Ji-Hun Son, Jae-Hun Kim, and Rishabh Bhaskaran for their data collection and database organization and Jeanette B. Ruiz for her assistance in data analysis.
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Barnett, G.A., Park, H.W. Co-authorship among the Fellows of the International Communication Association. Scientometrics 128, 3401–3418 (2023). https://doi.org/10.1007/s11192-023-04705-6
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DOI: https://doi.org/10.1007/s11192-023-04705-6