Abstract
Academic capacity is a common way to reflect the educational level of a country or district. The aim of this study is to explore the difference between the scientific research level of institutions and countries. By proposing an indicator named Citation-weighted Research Complexity Index (CRCI), we profile the academic capacity of universities and countries with respect to research complexity. The relationships between CRCI of universities and other relevant academic evaluation indicators are examined. To explore the correlation between academic capacity and economic level, the relationship between research complexity and GDP per capita is analysed. With experiments on the Microsoft Academic Graph data set, we investigate publications across 183 countries and universities from the Academic Ranking of World Universities in 19 research fields. Experimental results reveal that universities with higher research complexity have higher fitness. In addition, for developed countries, the development of economics has a positive correlation with scientific research. Furthermore, we visualize the current level of scientific research across all disciplines from a global perspective.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
References
Balassa, B.: Trade liberalisation and revealed comparative advantage 1. Manchester Sch. 33(2), 99–123 (1965)
Cristelli, M., Gabrielli, A., Tacchella, A., Caldarelli, G., Pietronero, L.: Measuring the intangibles: a metrics for the economic complexity of countries and products. PloS One 8(8), e70726 (2013)
Delgado, M., Ketels, C., Porter, M.E., Stern, S.: The determinants of national competitiveness. Technical report, National Bureau of Economic Research (2012)
Hidalgo, C.A., Hausmann, R.: The building blocks of economic complexity. Proc. Natl. Acad. Sci. 106(26), 10570–10575 (2009)
Kong, X., Shi, Y., Wang, W., Ma, K., Wan, L., Xia, F.: The evolution of turing award collaboration network: bibliometric-level and network-level metrics. IEEE Trans. Comput. Soc. Syst. 6(6), 1318–1328 (2019)
Kong, X., Shi, Y., Yu, S., Liu, J., Xia, F.: Academic social networks: modeling, analysis, mining and applications. J. Netw. Comput. Appl. 132, 86–103 (2019)
Laursen, K.: Revealed comparative advantage and the alternatives as measures of international specialization. Eurasian Bus. Rev. 5(1), 99–115 (2015). https://doi.org/10.1007/s40821-015-0017-1
Lee, I., Tie, Y.: Fitness and research complexity among research-active universities in the world. IEEE Trans. Emerg. Top. Comput. (2018)
Lee, I., Xia, F., Roos, G.: An observation of research complexity in top universities based on research publications. In: Proceedings of the 26th International Conference on World Wide Web Companion, pp. 1259–1265. International World Wide Web Conferences Steering Committee (2017)
Ren, J., et al.: API: an index for quantifying a scholar’s academic potential. IEEE Access 7, 178675–178684 (2019)
Robinson-Garcia, N., Torres-Salinas, D., Herrera-Viedma, E., Docampo, D.: Mining university rankings: Publication output and citation impact as their basis. arXiv preprint arXiv:1905.07141 (2019)
Selten, F., Neylon, C., Huang, C.K., Groth, P.: A longitudinal analysis of university rankings. arXiv preprint arXiv:1908.10632 (2019)
Sinha, A., et al.: An overview of microsoft academic service (MAS) and applications. In: Proceedings of the 24th International Conference on World Wide Web, pp. 243–246 (2015)
Xia, F., Wang, W., Bekele, T.M., Liu, H.: Big scholarly data: a survey. IEEE Trans. Big Data 3(1), 18–35 (2017)
Yu, S., Liu, Y., Ren, J., Bedru, H.D., Bekele, T.M.: Mining key scholars via collapsed core and truss. In: 2019 IEEE International Conference on Cloud and Big Data Computing, pp. 305–308. IEEE (2019)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Ren, J., Lee, I., Wang, L., Chen, X., Xia, F. (2020). On the Correlation Between Research Complexity and Academic Competitiveness. In: Ishita, E., Pang, N.L.S., Zhou, L. (eds) Digital Libraries at Times of Massive Societal Transition. ICADL 2020. Lecture Notes in Computer Science(), vol 12504. Springer, Cham. https://doi.org/10.1007/978-3-030-64452-9_39
Download citation
DOI: https://doi.org/10.1007/978-3-030-64452-9_39
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-64451-2
Online ISBN: 978-3-030-64452-9
eBook Packages: Computer ScienceComputer Science (R0)