Have a personal or library account? Click to login

The Scientometric Measurement of Interdisciplinarity and Diversity in the Research Portfolios of Chinese Universities

Open Access
|Jun 2021

References

  1. Abramo, G., Ciriaco Andrea D’Angelo, & Zhang, L. (2018). A comparison of two approaches for measuring interdisciplinary research output: The disciplinary diversity of authors vs the disciplinary diversity of the reference list. Journal of Informetrics, 12(4), 1182–1193.
  2. Ahlgren, P., Jarneving, B., & Rousseau, R. (2003). Requirements for a cocitation similarity measure, with special reference to pearson's correlation coefficient. Journal of the American Society for Information Science and Technology, 54(6), 550–560.
  3. Brewer, D.J., Gates, S.M., & Goldman, C.A. (2001). In Pursuit of Prestige: Strategy and Competition in U.S. Higher Education. Piscataway, NJ: Transaction Publishers, Rutgers University.
  4. Buchan, I. (2002). Calculating the Gini coefficient of inequality. https://www.nibhi.org.uk/Training/Statistics/Gini%20coefficient.doc.
  5. Carley, S., Porter, A.L., & Leydesdorff, I.R.L. (2017). Visualization of disciplinary profiles: Enhanced science overlay maps. Journal of Data and Information Science, 2(3), 68–111.
  6. Dixon, P.M., & Weiner, J. (1987). Mitchell-Olds T, Woodley R. Boot-strapping the Gini coefficient of inequality. Ecology, 68, 1548–1551.
  7. Egghe, L., & Leydesdorff, L. (2009). The Relation between Pearson's correlation coefficient r and Salton's cosine measure. Journal of the American Society for Information Science and Technology, 60(5), 1027–1036.
  8. Frenken, K., Oort, F. van, & Verburg, T.N. (2007). Related variety, unrelated variety and regional economic growth. Regional Studies, 41(5), 685–697.
  9. Griliches, Z. (1994). Productivity, R&D and the Data constraint. American Economic Review, 84(1), 1–23.
  10. Halffman, W., & Leydesdorff, L. (2010). Is inequality among universities increasing? Gini coefficients and the elusive rise of Elite Universities. Minerva, 48(1), 55–72.
  11. Herfindahl, O.C. (1950). Concentration in the U.S. steel industry. New York: Columbia University.
  12. Hirschman, A.O. (1945). National power and the structure of foreign trade. Berkeley: University of California Press.
  13. Kessler, M.M. (1963). Bibliographic coupling between scientific papers. American Documentation, 14, 10–25.
  14. Leinster, T., & Cobbold, C.A. (2012). Measuring diversity: The importance of species similarity. Ecology, 93(3), 477–489.
  15. Leydesdorff, L. (2006). Can scientific journals be classified in terms of aggregated journal-journal citation relations using the Journal Citation Reports? Journal of the Association for Information Science and Technology, 57(5), 601–613.
  16. Leydesdorff, L. (2015). Can technology life-cycles be indicated by diversity in patent classifications? The crucial role of variety. Scientometrics, 105(3), 1441–1451.
  17. Leydesdorff, L., & Ivanova, I. (2021). The Measurement of “Interdisciplinarity” and “Synergy” in Scientific and Extra-Scientific Collaborations. Journal of the Association for Information Science and Technology, 72(1), 387–402. doi: https://doi.org/10.1002/asi.24416
  18. Leydesdorff, L., & Rafols, I. (2011). Indicators of the interdisciplinarity of journals: Diversity, centrality, and citations. Journal of Informetrics, 5(1), 87–100.
  19. Le ydesdorff, L., & Schank, T. (2008). Dynamic animations of journal maps: Indicators of structural changes and interdisciplinary developments. Journal of the American Society for Information Science and Technology, 59(11), 1810–1818.
  20. Leydesdorff, L., Wagner, C.S., & Bornmann, L. (2018). Betweenness and diversity in journal citation networks as measures of interdisciplinarity—A tribute to Eugene Garfield. Scientometrics, 114(2), 567–592.
  21. Leydesdorff, L., Wagner, C.S., & Bornmann, L. (2019). Diversity measurement: Steps towards the measurement of interdisciplinarity? Journal of Informetrics, 13(3), 904–905.
  22. Leydesdorff, L., Wagner, C.S., & Bornmann, L. (2019). Interdisciplinarity as diversity in citation patterns among journals: Rao-Stirling Diversity, Relative Variety, and the Gini coefficient. Journal of Informetrics, 13(1), 255–264.
  23. Leydesdorff, L. & Zhou, P. (2007). Nanotechnology as a field of science: Its delineation in terms of journals and patents. Scientometrics, 70(3), 693–713.
  24. Leydesdorff, L., Wagner, C.S., & Zhang, L. (2021). Are University Rankings Statistically Significant? A Comparison among Chinese Universities and with the USA. Journal of Digital and Information Science and Technology JDIST; arXiv preprint arXiv:2011.08591.
  25. Liu, X. (2018). The ‘double first class’ initiative under top-level design. ECNU review of education. 1(1), 147–152.
  26. Lorenz, M. (1905). Methods of Measuring the Concentration of Wealth. Publications of the American Statistical Association, 9(70), 209–219.
  27. Mills, J.A., & Zandvakili, A. (1997). Statistical inference via bootstrapping for measures of inequality. Journal of Applied Econometrics, 12, 133–150.
  28. Nijssen, D., Rousseau, R., & Hecke, P.V. (1998). The Lorenz curve: A graphical representation of evenness. 13(1), 33–38.
  29. Pfeffer, J., Mrvar, A., & Batagelj, V. (2013). txt2pajek: Creating Pajek Files from Text Files. Technical Report, 110, CMU-ISR-13.
  30. Porter, A.L., & Rafols, I. (2009). Is science becoming more interdisciplinary? Measuring and mapping six research fields over time. Scientometrics, 81(3), 719–745.
  31. Powell, W.W., & DiMaggio, P.J. (Eds.). (2012). The new institutionalism in organizational analysis. Chicago: University of Chicago Press.
  32. Pratt, A.D. (1977). A measure of class concentration in bibliometrics. Journal of the American Society for Information Science, 28(5), 285–292.
  33. Rafols, I. (2014). Knowledge integration and diffusion: Measures and mapping of diversity and coherence. In Measuring Scholarly Impact (pp. 169–190). Springer, Cham.
  34. Rafols, I., & Meyer, M. (2007). How cross-disciplinary is bionanotechnology? Explorations in the specialty of molecular motors. Scientometrics, 70(3), 633–650.
  35. Rafols, I., & Meyer, M. (2010). Diversity and network coherence as indicators of interdisciplinarity: Case studies in bionanoscience. Scientometrics, 82(2), 263–287.
  36. Rafols, I., Porter, A.L., & Leydesdorff, L. (2010). Science overlay maps: A new tool for research policy and library management. Journal of the American Society for Information Science and Technology, 61(9), 1871–1887.
  37. Rousseau, R. (1992). Concentration and diversity measures in informetric research. Ph.D. Thesis, University of Antwerp.
  38. Rousseau, R. (2018). The repeat rate: From Hirschman to Stirling, Scientometrics, 116(1), 645–653.
  39. Rousseau, R. (2019). On the Leydesdorff-Wagner-Bornmann proposal for diversity measurement. Journal of Informetrics, 13(3), 906–907.
  40. Salton, G., & McGill, M.J. (1983). Introduction to Modern Information Retrieval. Auckland, etc: McGraw-Hill.
  41. Shannon, C.E. (1948). A mathematical theory of communication. The Bell System Technical Journal, 27(3), 379–423.
  42. Simpson, E.H. (1949). Measurement of diversity. Nature, 163(4148), 688–688.
  43. Stirling, A. (1998). On the economics and analysis of diversity. Science Policy Research Unit (SPRU), Electronic Working Papers Series, Paper, 28, 1–156.
  44. Stirling, A. (2007). A general framework for analysing diversity in science, technology and society. Journal of the Royal Society Interface, 4(15), 707–719.
  45. Wagner, C.S., Bornmann, L., Cai, X., & Leydesdorff, L. (in preparation). Isomorphism as an Ordering Dynamic in the Growth of China's Science System.
  46. Waltman, L., Eck, N.J., & Noyons, E.C.M. (2010). A unified approach to mapping and clustering of bibliometric networks. Journal of Informetrics, 4(4), 629–635.
  47. Whitley, R.D. (1984). The Intellectual and Social Organization of the Sciences. Oxford: Oxford University Press.
  48. Zhang, L., Rousseau, R., & Glänzel, W. (2016). Diversity of references as an indicator of the interdisciplinarity of journals: Taking similarity between subject fields into account. Journal of the Association for Information Science and Technology, 67(5), 1257–1265.
  49. Zhang, L., Sun, B., Chinchilla-Rodríguez, Z., Chen, L., & Huang, Y. (2018). Interdisciplinarity and collaboration: On the relationship between disciplinary diversity in departmental affiliations and reference lists. Scientometrics, 117(1), 271–291.
  50. Zhang, L., Sun, B., Jiang, L., & Huang, Y. (2021). On the relationship between interdisciplinarity and impact: Distinct effects on academic and broader impact, Research Evaluation, rvab007. https://doi.org/10.1093/reseval/rvab007
DOI: https://doi.org/10.2478/jdis-2021-0027 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
Language: English
Page range: 13 - 35
Submitted on: Jan 17, 2021
Accepted on: Jun 1, 2021
Published on: Jun 24, 2021
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year

© 2021 Lin Zhang, Loet Leydesdorff, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.