Skip to main content
Log in

Co-authorship among the Fellows of the International Communication Association

  • Published:
Scientometrics Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  MATH  Google Scholar 

  • 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.

    Google Scholar 

  • 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

    Article  Google Scholar 

  • Calma, A., & Davies, W. (2017). Geographies of influence: A citation network analysis of Higher Education 1972–2014. Scientometrics, 110(3), 1579–1599.

    Article  Google Scholar 

  • Chan, H. F., Frey, B. S., Gallus, J., & Torgler, B. (2014). Academic honors and performance. Labour Economics, 31, 188–204.

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Google Scholar 

  • Freeman, L. C. (1979). Centrality in social networks: Conceptual clarification. Social Networks, 1, 215–239.

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Holland, P. W., & Leinhardt, S. (1975). Local structure in social networks. In D. R. Heise (Ed.), Sociological methodology—1976 (pp. 1–45). Jossey-Bass.

    Google Scholar 

  • 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.

    Google Scholar 

  • 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

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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.

    Google Scholar 

  • Newman, M. E. J. (2004). Detecting community structure in networks. Physical Review E, 69(2), 6–113.

    Article  Google Scholar 

  • Nunkooa, R., Thelwall, M., Ladsawuta, J., & Goolaupc, S. (2020). Three decades of tourism scholarship: Gender, collaboration and research methods. Tourism Management, 78, 104056.

    Article  Google Scholar 

  • Park, H. W. (2020). A new era of quality & quantity: International journal of methodology—Collaborate or fall behind. Quality & Quantity, 54(1), 1–2.

    Article  Google Scholar 

  • 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.

    Google Scholar 

  • Schoch, D., Valente, T. W., & Brandes, U. (2017). Correlations among centrality indices and a class of uniquely ranked graphs. Social Networks, 50, 46–54.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Uddin, S., Hossain, L., Abbasi, A., & Rasmussen, K. (2012). Trend and efficiency analysis of co-authorship network. Scientometrics, 90(2), 687–699.

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Uzzi, B., Mukherjee, S., Stringer, M., & Jones, B. F. (2013). Atypical combinations and scientific impact. Science, 342(6157), 468–472.

    Article  Google Scholar 

  • Valente, T. W., Coronges, K., Lakon, C., & Costenbader, E. (2008). How correlated are network centrality measures? Connections, 28(1), 16–26.

    Google Scholar 

  • Van Eck, N. J., & Waltman, L. (2011). Text mining and visualization using VOSviewer. ISSI Newsletter, 7(3), 50–54.

    Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

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

    Book  MATH  Google Scholar 

  • Wuchty, S., Jones, B. F., & Uzzi, B. (2007). The increased dominance of teams in production of knowledge. Science, 316(5827), 1036–1039.

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

Download references

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.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Han Woo Park.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

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

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11192-023-04705-6

Keywords

Navigation