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Homophily in higher education research: a perspective based on co-authorships

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Abstract

Research collaborations are the norm in science today, and are usually evaluated using co-authorships as the unit of analysis. Research collaborations have been typically analyzed using a mapping perspective that focuses on countries, institutions, or individuals, or by assessments of the determinants of research collaboration, i.e., who engages in collaborations and who collaborates the most. One analytical perspective that has been used less frequently is the homophily perspective, which attempts to understand the likelihood of research collaborations based on the similarity of collaborators’ preferences and attributes. In addition, compared to studies focused on the fields of the natural and exact sciences, engineering, and the health sciences, research collaborations in the social sciences have been underexamined in the literature, despite the growing numbers of social scientists who engage in such collaborations. This study assessed homophily with respect to geographical, ascribed, acquired and career-related attributes in co-authorships in the social sciences, based on a co-authorship matrix of 913 higher education researchers. The findings showed that geographic and institutional attributes were by far the most powerful homophilic drivers of collaborations, suggesting the importance of physical proximity, national incentives, and shared culture, language, and identity. Another driver was the similarity of acquired attributes, particularly certain preferences regarding research agendas; these absorbed the residual explanatory power that ascribed attributes such as gender or age had in co-authorship preferences. The study is novel in its analysis of the extent to which similarities in the research agendas of researchers predicted co-authorship. The findings indicate the need for further co-authorship homophily analyses around a broader set of acquired attributes and the trajectories that lead to them.

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Notes

  1. Co-authorship of a scientific publication is a visible form of research collaboration, but does not represent the entire spectrum of research collaborations (Laudel, 2002). This spectrum is broad and involves diverse forms of collaboration, including informal and casual contributions to the research process. Co-authorship is usually based on the authors who contributed the most to a research study, but in some cases it may include honorary and ghost co-authors (Kumar, 2018). The order of authors is supposed to identify those who contributed the most to the research process, but it is often contextual to disciplinary and sub-disciplinary fields (Marusic et al., 2011). Specifically, some contributors making similar contributions to a research project can be co-authors in some disciplinary and sub-disciplinary fields, but not in others (Whetstone & Moulaison-Sandy, 2020).

  2. The Boolean search string used was as follows: “(SRCTITLE (“higher education”) OR SRCTITLE (“tertiary education”)) AND DOCTYPE (ar) AND PUBYEAR > 2003 AND PUBYEAR < 2015.” This step yielded 40 journals related to higher education, two of which were excluded: “Chronicle of Higher Education” because of characteristics that distinguish its articles from other journals (see Horta, 2017) and “Art Design Communication In Higher Education,” because the journal published only two articles during the period of interest.

References

  • Abramo, G., D’Angelo, C. A., & Murgia, G. (2013). Gender differences in research collaboration. Journal of Informetrics, 7(4), 811–822.

    Google Scholar 

  • Abramo, G., D’Angelo, A. C., & Murgia, G. (2017). The relationship among research productivity, research collaboration, and their determinants. Journal of Informetrics, 11, 1016–1030.

    Google Scholar 

  • Ahmed, M. Z., Plotkin, D., Qiu, B.-L., & Kawahara, A. Y. (2015). Postdocs in science: A comparison between China and United States. BioScience, 65(11), 1088–1095.

    Google Scholar 

  • Alstott, J., Madnick, S., & Velu, Chander. (2014). Homophily and the speed of social mobilization: the effect of acquired and ascribed traits. Plos One. https://doi.org/10.1371/journal.pone.0095140

    Article  Google Scholar 

  • Akbaritabar, A., & Barbato, G. (2021). An internationalised Europe and regionally focused Americas: A network analysis of higher education studies. European Journal of Education, 56(2), 219–234.

    Google Scholar 

  • Aman, V. (2018). Does the scopus author ID suffice to track scientific international mobility? A case study based on Leibniz laureates. Scientometrics, 117(2), 705–720.

    Google Scholar 

  • Balmaceda, J. M., Schiaffino, S., & Godoy, D. (2013). How do personality traits affect communication among users in online social networks? Online Information Review, 38, 136–153.

    Google Scholar 

  • Bammer, G. (2008). Enhancing research collaborations: Three key management challenges. Research Policy, 37(5), 875–887.

    Google Scholar 

  • Belli, S., Mugnaini, R., Baltà, J., & Abadal, E. (2020). Coronavirus mapping in scientific publications: When science advances rapidly and collectively, is access to this knowledge open to society? Scientometrics, 124, 1661–2685.

    Google Scholar 

  • Biancani, S., McFarland, D. A. (2013). Social networks research in higher education. In Higher education: Handbook of theory and research (pp. 151–215). Springer, Dordrecht.

  • Black, G. C., & Stephan, P. E. (2010). The economies of university science and the role of foreign graduate students and postgraduate scholars. In C. T. Clotfelter (Ed.), American Universities in a global market (pp. 129–162). The University of Chicago Press.

    Google Scholar 

  • Boschini, A., & Sjögren, A. (2007). Is team formation gender neutral? Evidence from coauthorship patterns. Journal of Labor Economics, 25(2), 325–365.

    Google Scholar 

  • Bossio, D., Loch, B., Schier, M., & Mazzolini, A. (2014). A roadmap for forming successful interdisciplinary education research collaborations: A reflective approach. Higher Education Research & Development, 33(2), 198–211.

    Google Scholar 

  • Bozeman, B., & Gaughan, M. (2011). How do men and women differ in research collaborations? An analysis of the collaborative motives and strategies of academic researchers. Research Policy, 40(10), 1393–1402.

    Google Scholar 

  • Chen, S. (2015). Boundary objects and boundary brokering to make the research-policy-practice nexus possible: The case of the Chinese higher education field. Higher Education Policy, 28(4), 441–457.

    Google Scholar 

  • Coates, H., Xie, Z., & Hong, X. (2021). Engaging transformed fundamentals to design global hybrid higher education. Studies in Higher Education, 46(1), 166–176.

    Google Scholar 

  • Cuntz, A., & Peuckert, J. (2015). Openness determinants of national research funding programmes in EU27. Science and Public Policy, 42(4), 474–486.

    Google Scholar 

  • Currarini, S., & Mengel, F. (2016). Identity, homophily and in-group bias. European Economic Review, 90, 40–55.

    Google Scholar 

  • Daenekindt, S., & Huisman, J. (2020). Mapping the scattered field of research on higher education. A correlated topic model of 17,000 articles, 1991–2018. Higher Education, 80, 571–587.

    Google Scholar 

  • Dahlander, L., & McFarland, D. A. (2013). Ties that last: Tie formation and persistence in research collaborations over time. Administrative Science Quarterly, 58(1), 69–110.

    Google Scholar 

  • De Stefano, D., Fuccella, V., Vitale, M. P., & Zaccarin, S. (2013). The use of different data sources in the analysis of co-authorship networks and scientific performance. Social Networks, 35(3), 370–381.

    Google Scholar 

  • Ebadi, A., & Schiffauerova, A. (2015a). How to receive more funding for your research? Get connected to the right people! PloS One, 10(7), e0133061.

    Google Scholar 

  • Ebadi, A., & Schiffauerova, A. (2015b). How to become an important player in scientific collaboration networks? Journal of Informetrics, 9(4), 809–825.

    Google Scholar 

  • Eduan, W. (2019). Influence of study abroad factors on international research collaboration: Evidence from higher education academics in sub-Saharan Africa. Studies in Higher Education, 44(4), 774–785.

    Google Scholar 

  • Evans, T. S., Lambiotte, R., & Panzarasa, P. (2011). Community structure and patterns of scientific collaboration in business and management. Scientometrics, 89, 381–396.

    Google Scholar 

  • Feng, S., & Kirkley, A. (2020). Mixing patterns in interdisciplinary co-authorship networks at multiple scales. Scientific Reports. https://doi.org/10.1038/s41598-020-64351-3

    Article  Google Scholar 

  • Firth, D. (1993). Bias reduction of maximum likelihood estimates. Biometrika, 80(1), 27–38.

    MathSciNet  MATH  Google Scholar 

  • González Brambila, C. N., & Olivares-Vázquez, J. L. (2020). Patterns and evolution of publication and co-authorship in social sciences in Mexico. Scientometrics. https://doi.org/10.1007/s11192-020-03644-w

    Article  Google Scholar 

  • González Ramos, A. M., Fernández Palacín, F., & Muñoz Márquez, M. (2015). Do men and women perform academic work differently? Tertiary Education and Management, 21(4), 263–276.

    Google Scholar 

  • Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014) Multivariate Data Analysis. Pearson Education Limited.

  • Han, J., Fang, M., Ye, S., Chen, C., Wan, Q., & Qian, X. (2019). Using decision tree to predict response rates of consumer satisfaction, attitude, and loyalty surveys. Sustainability, 11(8), 2306. https://doi.org/10.3390/su11082306

    Article  Google Scholar 

  • Hanawalt, P. C. (2006). Research collaborations: Trial, trust, and truth. Cell, 126(5), 823–825.

    Google Scholar 

  • Henriksen, D. (2018). What factors are associated with increasing co-authorship in the social sciences? A case study of danish economics and political science. Scientometrics, 114(3), 1395–1421.

    Google Scholar 

  • Hoffman, D. M., Blasi, B., Culum, B., Dragsic, Z., Ewen, A., Horta, H., Nokkala, T., & Rios-Aguilar, C. (2014). The methodological illumination of a blind spot: Information and communication technology and international research team dynamics in a higher education research program. Higher Education, 67(4), 473–495.

    Google Scholar 

  • Horta, H. (2017). Higher-education researchers in Asia: the risks of insufficient contribution to international higher-education research. In J. Jung, H. Horta, & A. Yonezawa (Eds.), Researching higher education in Asia: history, development and future (pp. 15–36). Dordrecht: Springer.

  • Horta, H., & Santos, J. M. (2016a). An instrument to measure individuals’ research agenda setting: The multi-dimensional research agendas inventory. Scientometrics, 108(3), 1243–1265.

    Google Scholar 

  • Horta, H., & Santos, J. M. (2016b). The impact of publishing during PhD studies on career research publication, visibility, and collaborations. Research in Higher Education, 57(1), 28–50.

    Google Scholar 

  • Hunter, L., & Leahey, E. (2008). Collaborative research in sociology: Trends and contributing factors. The American Sociologist, 39(4), 290–306.

    Google Scholar 

  • Jeong, S., Choi, J. Y., & Kim, J. (2011). The determinants of research collaboration modes: Exploring the effects of research and researcher characteristics on authorship. Scientometrics, 89(3), 967–983.

    Google Scholar 

  • Jung, J., & Horta, H. (2013). Higher education research in Asia: A publication and co-publication analysis. Higher Education Quarterly, 67(4), 398–419.

    Google Scholar 

  • Kim, D. H., & Bak, H.-J. (2017). Incentivizing research collaboration using performance-based reward systems. Science and Public Policy, 44(2), 186–198.

    Google Scholar 

  • King, G., & Zeng, L. (2001). Logistic regression in rare events data. Political Analysis, 9(2), 137–163.

    Google Scholar 

  • Kosmützky, A. (2015). In defence of international comparative studies On the analytical and exploratory power of the nation state in international comparative higher education research. European Journal of Higher Education, 5(4), 354–370.

    Google Scholar 

  • Kosmützky, A., & Krucken, G. (2014). Growth or steady state? A bibliometric focus on international comparative higher education research. Higher Education, 67, 457–472.

    Google Scholar 

  • Kumar, S. (2018). Ethical concerns in the rise of co-authorship and its role as a proxy of research collaborations. Publications, 6(3), 37. https://doi.org/10.3390/publications6030037

    Article  Google Scholar 

  • Kuzhabekova, A., Hendel, D. D., & Chapman, D. W. (2015). Mapping global research on international higher education. Research in Higher Education, 56(8), 861–882. https://doi.org/10.1007/s11162-015-9371-1

    Article  Google Scholar 

  • Kwiek, M. (2021). The prestige economy of higher education journals: A quantitative approach. Higher Education, 81(3), 493–519.

    Google Scholar 

  • Kwiek, M. (2020). Internationalists and locals: International research collaboration in a resource-poor system. Scientometrics, 124, 57–105.

    Google Scholar 

  • Kwiek, M. (2018). High research productivity in vertically undifferentiated higher education systems: Who are the top performers? Scientometrics, 115, 415–462.

    Google Scholar 

  • Kwiek, M. (2016). The European research elite: A cross-national study of highly productive academics in 11 countries. Higher Education, 71, 379–397.

    Google Scholar 

  • Kwiek, M., & Roszka, W. (2020). Gender disparities in international research collaboration: A study of 25,000 university professors. Journal of Economic Surveys. https://doi.org/10.1111/joes.12395

    Article  Google Scholar 

  • Kwiek, M., & Roszka, W. (2021). Gender-based homophily in research: a large scale study of man-woman collaboration. Journal of Informetrics, 15(3), 101171.

    Google Scholar 

  • Larivière, V. (2012). On the shoulders of students? The contribution of PhD students to the advancement of knowledge. Scientometrics, 90(2), 463–481.

    Google Scholar 

  • Laudel, G. (2002). What do we measure by co-authorships? Research Evaluation, 11(1), 3–15.

    Google Scholar 

  • Lauto, G., & Valentin, F. (2013). How large scale research facilities connect to global research. Review of Policy Research, 30(4), 381–408.

    Google Scholar 

  • Lawrence, B. S., & Shah, N. P. (2020). Homophily: Measures and meaning. Academy of Management Annals. https://doi.org/10.5465/annals.2018.0147

    Article  Google Scholar 

  • Lazarsfeld, P. F., & Merton, R. K. (1954). Friendship as a social process: A substantive and methodological analysis. In M. Berger, T. Abel, & C. H. Page (Eds.), Freedom and Control in Modern Society (pp. 18–66). Van Nostrand.

  • Ma, D., Narayanan, V. K., Liu, C. R., & Fakharizadi, E. (2020). Boundary salience: The interactive effect of organizational status distance and geographical proximity on co-authorship tie formation. Social Networks, 63, 162–173.

    Google Scholar 

  • Marusick, A., Bosnjak, L., & Jeroncic, A. (2011). A systematic review of research on the meaning, ethics and practices of authorship across scholarly disciplines. PLoS ONE. https://doi.org/10.1371/journal.pone.0023477

    Article  Google Scholar 

  • McPherson, J. M., Smith-Lovin, L., & Cook, K. M. (2001). Birds of a feather: Homophily in social networks. Annual Review of Sociology, 27, 415–444.

    Google Scholar 

  • Medina, A. M. (2018). Why do ecologists search for co-authorships? Patterns of co-authorship networks in ecology (1977–2016). Scientometrics, 116, 1853–1865.

    Google Scholar 

  • Melin, G. (2000). Pragmatism and self-organization: Research collaboration on the individual level. Research Policy, 29(1), 31–40.

    Google Scholar 

  • Moody, J. (2004). The structure of a social science collaboration network: Disciplinary cohesion from 1963 to 1999. American sociological review, 69(2), 213–238.

  • Muriithi, P., Horner, D., Pemberton, L., & Wao, H. (2018). Factors influencing research collaborations in Kenyan universities. Research Policy, 47(1), 88–97.

    Google Scholar 

  • Noë, N., Whitaker, R. M., & Allen, S. M. (2016, August). Personality homophily and the local network characteristics of Facebook. In 2016 IEEE/ACM international conference on advances in social networks analysis and mining (ASONAM) (pp. 386–393). IEEE.

  • Norris, M., & Oppenheim, C. (2007). Comparing alternatives to the Web of Science for coverage of the social sciences’ literature. Journal of Informetrics, 1(2), 161–169.

    Google Scholar 

  • Oh, H., & Kilduff, M. (2008). The ripple effect of personality on social structure: Self-monitoring origins of network brokerage. Journal of Applied Psychology, 93(5), 1155–1164.

    Google Scholar 

  • Parker, M., & Kingori, P. (2016). Good and bad research collaborations: Researchers’ views on science and ethics in global health research. PLoS ONE. https://doi.org/10.1371/journal.pone.0163579

    Article  Google Scholar 

  • Pinheiro, D., Melkers, J., & Youtie, J. (2014). Learning to play the game: Student publishing as an indicator of future scholarly success. Technological Forecasting & Social Change, 81, 56–66.

    Google Scholar 

  • Postiglione, G. & Jisun, J. (2013). World class university and Asia’s top tier researchers. In Wang, Q., Cheng, Y., & Liu, N. C. (Eds.), Building world-class universities. Different approaches to a shared goal Sense: Rotterdam. (pp. 161–180).

  • Rammstedt, B., & John, O. P. (2007). Measuring personality in one minute or less: A 10-item short version of the Big Five Inventory in English and German. Journal of Research in Personality, 41(1), 203–212.

    Google Scholar 

  • Reale, E. (2014). Challenges in higher education research: The use of quantitative tools in comparative analyses. Higher Education, 67, 409–422.

    Google Scholar 

  • Santos, J. M., & Horta, H. (2018). The research agenda setting of higher education researchers. Higher Education, 76(4), 649–668.

    Google Scholar 

  • Santos, J. M., Horta, H., & Amâncio, L. (2021). Research agendas of female and male academics: A new perspective on gender disparities in academia. Gender and Education, 33(5), 625–643.

    Google Scholar 

  • Sargent, L. D., & Waters, L. E. (2004). Careers and academic research collaborations: an inductive process framework for understanding successful collaborations. Journal of Vocational Behavior, 64(2), 308–319.

    Google Scholar 

  • Shahjajan, R. A., & Kezar, A. J. (2013). Beyond the “national container”: Addressing methodological nationalism in higher education research. Educational Researcher, 42(1), 20–29.

    Google Scholar 

  • Smith, T. J., & McKenna, C. M. (2013). A comparison of logistic regression pseudo R2 indices. Multiple Linear Regression Viewpoints, 39(2), 17–26.

    Google Scholar 

  • Solomon, R. S., Srinivas, P. Y. K. L., Das, A., Gamback, B., & Chakraborty, T. (2019). Understanding the psycho-sociological facets of homophily in social network communities. IEEE Computational Intelligence Magazine, 14(2), 28–40.

    Google Scholar 

  • Tavares, O., Sin, C., Sá, C., Bugla, S., & Amaral, A. (2021). Inbreeding and research collaborations in Portuguese higher education. Higher Education Quarterly. https://doi.org/10.1111/hequ.12301

    Article  Google Scholar 

  • Teichler, U. (2014). Opportunities and problems of comparative higher education research: The daily life of research. Higher Education, 67, 393–408.

    Google Scholar 

  • Teichler, U. (2013). Academically ambitious and relevant higher education research: The legacy of the consortium of higher education researchers. European Journal of Higher Education, 3(3), 242–254.

    Google Scholar 

  • Tight, M. (2014). Working in separate silos? What citation patterns reveal about higher education internationally. Higher Education, 68(3), 379–395.

    Google Scholar 

  • Tight, M. (2018). Higher education journals: Their characteristics. Higher Education Research and Development, 37(3), 607–619.

    Google Scholar 

  • Wang, Y.S., Lee, C.J., West, J.D., Bergstrom, C.T., & Erosheva, E.A. (2019) Gender-based homophily in collaborations across a heterogenous scholarly landscape. arXiv: 1909.01284v1

  • Whetstone, D., & Moulaison-Sandy, H. (2020). Quantifying authorship: a comparison of authorship rubrics from five disciplines. Proceedings of the Association for Information Science and Technology, 57(1), e277. https://doi.org/10.1002/pra2.277

    Article  Google Scholar 

  • Wildemeersch, D., & Masschelein, J. (2018). Lessons from the south: research collaboration as an educational practice. Social Sciences. https://doi.org/10.3390/socsci7110235

    Article  Google Scholar 

  • Wooley, R., Sánchez-Barrioluengo, M., Turpin, T., & Marceau, J. (2015). Research collaboration in the social sciences: What factors are associated with disciplinary and interdisciplinary collaboration? Science and Public Policy, 42, 567–582.

    Google Scholar 

  • Xu, X. (2020). China “goes out” in a centre-periphery world: Incentivizing international publications in the humanities and social sciences. Higher Education, 80(1), 157–172.

    Google Scholar 

  • Yemini, Y. (2021). International research collaboration as perceived by top-performing scholars. Journal of Studies in International Education, 25(1), 3–18.

    Google Scholar 

  • Yonezawa, A. (2015). Connecting higher education research in Japan with the international academic community. Higher Education Policy, 28, 477–493.

    Google Scholar 

  • Zhang, C., Bu, Y., Ding, Y., & Xu, J. (2018). Understanding scientific collaboration: Homophily, transitivity, and preferential attachment. Journal of the Association for Information Science and Technology, 69(1), 72–86.

    Google Scholar 

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Acknowledgements

This work was partially funded by the HKU Seed Fund for Basic Research for New Staff for new faculty (SF). This study was also partially funded by the Research Grants Council (Hong Kong) through a project entitled ‘Characterizing researchers’ research agenda-setting: An international perspective across fields of knowledge’ (project number: 27608516).

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Horta, H., Feng, S. & Santos, J.M. Homophily in higher education research: a perspective based on co-authorships. Scientometrics 127, 523–543 (2022). https://doi.org/10.1007/s11192-021-04227-z

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