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New wine in old bottles? Examining institutional hierarchy in laureate mobility networks, 1900–2017

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Abstract

One of the major trends in academia today is the constant growth of the mobility of scientists. However, the unbalanced mobility of scientific elites can not only lead to institutional hierarchy in research sectors but also result in an “elite circulation” phenomenon. In this study, we collected the information on the institutional mobility of 10,918 laureates of 308 international academic awards, and constructed laureate mobility networks. Furthermore, we examined the structure of these networks by using several statistical approaches. We find that there are hierarchical structures in laureate mobility networks, both in different scientific fields and at different historical periods, indicating that only a few institutions link a higher number of laureates and most institutions at a lower number. In addition, the Gini coefficient shows a higher level of institutional inequality in laureate mobility networks over time.

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References

  • Adams, W. (1968). The brain drain. New York: McMillan.

    Google Scholar 

  • Albarrán, P., Carrasco, R., & Ruiz-Castillo, J. (2017). Geographic mobility and research productivity in a selection of top world economics departments. Scientometrics, 111(1), 241–265.

    Google Scholar 

  • Allison, P. D., Long, J. S., & Krauze, T. K. (1982). Cumulative advantage and inequality in science. American Sociological Review, 47(5), 615–625.

    Google Scholar 

  • Arewa, O. B., Morriss, A. P., & Henerson, W. D. (2014). Enduring hierarchies in American legal education. Indiana Law Journal, 89(1), 941.

    Google Scholar 

  • Ash, M. G., & Söllner, A. (Eds.). (2002). Forced migration and scientific change: Emigre German-speaking scientists and scholars after 1933. Cambridge: Cambridge University Press.

    Google Scholar 

  • Barabási, A. L., & Albert, R. (1999). Emergence of scaling in random networks. Science, 286(5439), 509–512.

    MathSciNet  MATH  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(2), 388–411.

    Google Scholar 

  • Bernal, J. D. (1954). Science in History. London: CA Watts & Co.

    Google Scholar 

  • Borgatti, S. P., Mehra, A., Brass, D. J., & Labianca, G. (2009). Network analysis in the social sciences. Science, 323(5916), 892–895.

    Google Scholar 

  • Bourdieu, P. (1984). Distinction: A social critique of the judgement of taste. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Brin, S., & Page, L. (1998). The anatomy of a large-scale hypertextual web search engine. Computer Networks and ISDN Systems, 30(1–7), 107–117.

    Google Scholar 

  • Burris, V. (2004). The academic caste system: Prestige hierarchies in PhD exchange networks. American Sociological Review, 69(2), 239–264.

    Google Scholar 

  • Cantwell, B. (2011). Transnational mobility and international academic employment: Gatekeeping in an academic competition arena. Minerva, 49(4), 425–445.

    Google Scholar 

  • Cañibano, C., Otamendi, F. J., & Solís, F. (2011). International temporary mobility of researchers: A cross-discipline study. Scientometrics, 89(2), 653–675.

    Google Scholar 

  • Clauset, A., Arbesman, S., & Larremore, D. B. (2015). Systematic inequality and hierarchy in faculty hiring networks. Science Advances, 1(1), e1400005.

    Google Scholar 

  • Clauset, A., Shalizi, C. R., & Newman, M. E. (2009). Power-law distributions in empirical data. SIAM Review, 51(4), 661–703.

    MathSciNet  MATH  Google Scholar 

  • Cole, J. R., & Cole, S. (1973). Social stratification in science. Chicago, IL: University of Chicago Press.

    Google Scholar 

  • Coupé, T. (2003). Revealed performances: Worldwide rankings of economists and economics departments, 1990–2000. Journal of the European Economic Association, 1(6), 1309–1345.

    Google Scholar 

  • Crane, D. (1969). Social structure in a group of scientists: A test of the "Invisible College" hypothesis. American Sociological Review, 34(3), 335–352.

    Google Scholar 

  • Cruz-Castro, L., & Sanz-Menéndez, L. (2010). Mobility versus job stability: Assessing tenure and productivity outcomes. Research Policy, 39(1), 27–38.

    Google Scholar 

  • De Maio, F. G. (2007). Income inequality measures. Journal of Epidemiology & Community Health, 61(10), 849–852.

    Google Scholar 

  • Gaston, J. (1970). The reward system in British science. American Sociological Review, 35(4), 718–732.

    Google Scholar 

  • Gastwirth, J. L. (1971). A general definition of the Lorenz curve. Econometrica: Journal of the Econometric Society, 39, 1037–1039.

    MATH  Google Scholar 

  • Gastwirth, J. L. (1972). The estimation of the Lorenz curve and Gini index. The Review of Economics and Statistics, 54, 306–316.

    MathSciNet  Google Scholar 

  • Gleich, D. F. (2015). PageRank beyond the Web. SIAM Review, 57(3), 321–363.

    MathSciNet  MATH  Google Scholar 

  • Hagstrom, W. O. (1965). The scientific community. New York: Basic books.

    Google Scholar 

  • Halffman, W., & Leydesdorff, L. (2010). Is inequality among universities increasing? Gini coefficients and the elusive rise of elite universities. Minerva, 48(1), 55–72.

    Google Scholar 

  • Jiang, F., & Liu, N. (2018). The hierarchical status of international academic awards in social sciences. Scientometrics, 117(3), 2091–2115.

    Google Scholar 

  • Jiang, F., & Liu, N. (2019). ‘New wine in old bottles? Examining institutional hierarchy in mobility networks of prestigious awards laureates, 1901–2017’. In Catalano, G., Daraio, C., Gregori, M., Moed, H. F., & Ruocco, G (Eds.) Proceedings of the 17th conference of the international society for scientometrics and informetrics (ISSI 2019), Vol. 1 (pp. 65–74). ISBN: 978-88-3381-118-5.

  • Katz, D. M., Gubler, J. R., Zelner, J., Bommarito, M. J., II, Provins, E., & Ingall, E. (2011). Reproduction of hierarchy? A social network analysis of the American Law Professoriate. Journal of Legal Education, 61(1), 76.

    Google Scholar 

  • Mai, B., Liu, J., & González-Bailón, S. (2015). Network effects in the academic market: Mechanisms for hiring and placing PhDs in communication (2007–2014). Journal of Communication, 65(3), 558–583.

    Google Scholar 

  • Melin, G. (2005). The dark side of mobility: negative experiences of doing a postdoc period abroad. Research Evaluation, 14(3), 229–237.

    Google Scholar 

  • Merton, R. K. (1968). The Matthew effect in science. Science, 159(3810), 56–63.

    Google Scholar 

  • Merton, R. K. (1973). The sociology of science: Theoretical and empirical investigations. Chicago: University of Chicago Press.

    Google Scholar 

  • Merton, R. K. (1988). The Matthew effect in science, II: Cumulative advantage and the symbolism of intellectual property. ISIS: Journal of the History of Science in Society, 79(4), 606–623.

    Google Scholar 

  • Meyer, J. B. (2008). Network approach versus brain drain: Lessons from the Diaspora. International Migration, 39(5), 91–110.

    Google Scholar 

  • Mixon, F. G., Torgler, B., & Upadhyaya, K. P. (2017). Scholarly impact and the timing of major awards in economics. Scientometrics, 112(3), 1837–1852.

    Google Scholar 

  • Morgan, C. A., Economou, J. D., Way, F. S., & Clauset, A. (2018). Prestige drives epistemic inequality in the diffusion of scientific ideas. EPJ Data Science, 40(7), 1–16.

    Google Scholar 

  • Myers, S. A., Mucha, P. J., & Porter, M. A. (2011). Mathematical genealogy and department prestige. Chaos: An Interdisciplinary Journal of Nonlinear Science, 21(4), 041104.

    Google Scholar 

  • Pareto, V. (1968). The rise and fall of elites: An application of theoretical sociology. New York: Arno Press.

    Google Scholar 

  • Petersen, E. B. (2007). Negotiating academicity: Postgraduate research supervision as category boundary work. Studies in Higher Education, 32(4), 475–487.

    Google Scholar 

  • Price, D. (1963). Little science, big science. New York: Columbia University Press.

    Google Scholar 

  • Schlagberger, E. M., Bornmann, L., & Bauer, J. (2016). At what institutions did Nobel laureates do their prize-winning work? An analysis of biographical information on Nobel laureates from 1994 to 2014. Scientometrics, 109(2), 723–767.

    Google Scholar 

  • Storer, N. W. (1966). The social system of science. New York: Holt, Rinehart and Winston.

    Google Scholar 

  • Tao, Y., Wu, X., & Li, C. (2017). Rawls’ fairness, income distribution and alarming level of Gini coefficient. Economics Discussion Papers, No 2017–67, Kiel Institute for the World Economy. Retrieved from https://www.economics-ejournal.org/economics/discussionpapers/2017-67.

  • Watts, D. J., & Strogatz, S. H. (1998). Collective dynamics of ‘small-world’ networks. Nature, 393(6684), 440–442.

    MATH  Google Scholar 

  • Wiggins, A., & Sawyer, S. (2012). Intellectual diversity and the faculty composition of iSchools. Journal of the American Society for Information Science and Technology, 63(1), 8–21.

    Google Scholar 

  • Yuasa, M. (1962). Centre of scientific activity: Its shift from the 16th to the 20th century. Japanese Studies in the History of Science, 1, 57–75.

    Google Scholar 

  • Zhao, H., & Jiang, G. (1985). Shifting of world's scientific center and scientists' social ages. Scientometrics, 8(1–2), 59–80.

    MathSciNet  Google Scholar 

  • Zheng, J., & Liu, N. (2015). Mapping of important international academic awards. Scientometrics, 104(3), 763–791.

    MathSciNet  Google Scholar 

  • Zhou, J., Zeng, A., Fan, Y., & Di, Z. (2018). Identifying important scholars via directed scientific collaboration networks. Scientometrics, 114(3), 1327–1343.

    Google Scholar 

  • Zhu, Y., & Yan, E. (2017). Examining academic ranking and inequality in library and information science through faculty hiring networks. Journal of Informetrics, 11(2), 641–654.

    Google Scholar 

  • Ziman, J. (2002). Real science: What it is and what it means. Cambridge: Cambridge University Press.

    Google Scholar 

  • Zubieta, A. F. (2009). Recognition and weak ties: Is there a positive effect of postdoctoral position on academic performance and career development? Research Evaluation, 18(2), 105–115.

    Google Scholar 

  • Zuckerman, H. (1970). Stratification in American science. Sociological Inquiry, 40(2), 235–257.

    Google Scholar 

  • Zuckerman, H. (1995). Scientific elite: Nobel Laureates in the United States. New Brunswick, NJ: Transaction Publishers.

    Google Scholar 

Download references

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Authors and Affiliations

  1. Center for Higher Education Research, Southern University of Science and Technology, Shenzhen, 518055, China

    Fan Jiang

  2. Graduate School of Education, Shanghai Jiao Tong University, Shanghai, 200240, China

    Fan Jiang & Nian Cai Liu

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  1. Fan Jiang
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  2. Nian Cai Liu
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Correspondence to Fan Jiang or Nian Cai Liu.

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Jiang, F., Liu, N.C. New wine in old bottles? Examining institutional hierarchy in laureate mobility networks, 1900–2017. Scientometrics 125, 1291–1304 (2020). https://doi.org/10.1007/s11192-020-03477-7

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  • DOI: https://doi.org/10.1007/s11192-020-03477-7

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