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Identifying the research focus of Library and Information Science institutions in China with institution-specific keywords

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Abstract

In order to distinguish the research focus between different Library and Information Science (LIS) research institutions in China, we use the Keyword Activity Index (KAI) to identify their institution-specific keywords. The KAI, whose idea is borrowed from the Activity Index, measures whether an institution has alternatively comparative advantage in a particular topic according to its share in publications. In this study, a total of 65,653 papers from 19 core LIS journals in China during the period of 2000–2013 are collected. The top 8 most prolific LIS research institutions in China are selected for further investigation of the utility of KAI. Their institution-specific keywords are extracted based on the KAI values to represent their research focus and then clustered using co-word analysis; the research advantages of each institution are analyzed and compared according to these clusters. The reasons of their research advantages are analyzed based on their research function and research background.

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References

  • Abrahamson, E. (1996). Management fashion. Academy of Management Review, 21(1), 254–285.

    Google Scholar 

  • Abramo, G., Cicero, T., & D’Angelo, C. A. (2013). National peer-review research assessment exercises for the hard sciences can be a complete waste of money: The Italian case. Scientometrics, 95(1), 311–324.

    Article  Google Scholar 

  • Abramo, G., & D’Angelo, C. A. (2014). Assessing national strengths and weaknesses in research fields. Journal of Informetrics, 8(3), 766–775.

    Article  Google Scholar 

  • Aguillo, I. F., Bar-Ilan, J., Levene, M., & Ortega, J. L. (2010). Comparing university rankings. Scientometrics, 85(1), 243–256.

    Article  Google Scholar 

  • An, L., Yu, C., & Li, G. (2014). Visual topical analysis of Chinese and American Library and Information Science research institutions. Journal of Informetrics, 8(1), 217–233.

    Article  Google Scholar 

  • Assefa, S. G., & Rorissa, A. (2013). A bibliometric mapping of the structure of STEM education using co-word analysis. Journal of the American Society for Information Science and Technology, 64(12), 2513–2536.

    Article  Google Scholar 

  • Balassa, B. (1965). Trade liberalisation and “revealed” comparative advantage 1. The Manchester School, 33(2), 99–123.

    Article  Google Scholar 

  • Belter, C., & Sen, A. (2014). Bibliometric performance measures for the evaluation of NOAA R&D.

  • Bornmann, L. (2011). Scientific peer review. Annual Review of Information Science and Technology, 45(1), 197–245.

    Article  Google Scholar 

  • Bornmann, L., de Moya Anegón, F., & Leydesdorff, L. (2012). The new excellence indicator in the world report of the SCImago Institutions Rankings 2011. Journal of Informetrics, 6(2), 333–335.

    Article  Google Scholar 

  • Bornmann, L., Stefaner, M., de Moya Anegón, F., & Mutz, R. (2014). Ranking and mapping of universities and research-focused institutions worldwide based on highly-cited papers: A visualisation of results from multi-level models. Online Information Review, 38(1), 43–58.

    Article  Google Scholar 

  • Callon, M., Courtial, J. P., & Laville, F. (1991). Co-word analysis as a tool for describing the network of interactions between basic and technological research: The case of polymer chemsitry. Scientometrics, 22(1), 155–205.

    Article  Google Scholar 

  • Choi, J., Yi, S., & Lee, K. C. (2011). Analysis of keyword networks in MIS research and implications for predicting knowledge evolution. Information and Management, 48(8), 371–381.

    Article  Google Scholar 

  • Ding, Y., Chowdhury, G. G., & Foo, S. (2001). Bibliometric cartography of information retrieval research by using co-word analysis. Information Processing and Management, 37(6), 817–842.

    Article  MATH  Google Scholar 

  • Frame, J. D. (1977). Mainstream research in Latin America and the Caribbean. Interciencia, 2(3), 143–148.

    Google Scholar 

  • Glänzel, W., Thijs, B., Schubert, A., & Debackere, K. (2009). Subfield-specific normalized relative indicators and a new generation of relational charts: Methodological foundations illustrated on the assessment of institutional research performance. Scientometrics, 78(1), 165–188.

    Article  Google Scholar 

  • Harzing, A. W., & Giroud, A. (2014). The competitive advantage of nations: An application to academia. Journal of Informetrics, 8(1), 29–42.

    Article  Google Scholar 

  • Hazelkorn, E. (2014). Reflections on a decade of global rankings: What we’ve learned and outstanding issues. European Journal of Education, 49(1), 12–28.

    Article  Google Scholar 

  • He, Q. (1999). Knowledge discovery through co-word analysis. Library Trends, 48(1), 133–159.

    Google Scholar 

  • Hicks, D. (2012). Performance-based university research funding systems. Research Policy, 41(2), 251–261.

    Article  MathSciNet  Google Scholar 

  • Holten, D., Cornelissen, B., & Van Wijk, J. J. (2007). Trace visualization using hierarchical edge bundles and massive sequence views. In Proceedings of the 4th IEEE international workshop on visualizing software for understanding and analysis, 2007. VISSOFT 2007 (pp. 47–54). IEEE.

  • Hu, C. P., Hu, J. M., Deng, S. L., & Liu, Y. (2013). A co-word analysis of Library and Information Science in China. Scientometrics, 97(2), 369–382.

    Article  Google Scholar 

  • Hu, C. P., Hu, J. M., Gao, Y., & Zhang, Y. K. (2011). A journal co-citation analysis of Library and Information Science in China. Scientometrics, 86(3), 657–670.

    Article  Google Scholar 

  • Huang, M. H., Chang, H. W., & Chen, D. Z. (2006). Research evaluation of research-oriented universities in Taiwan from 1993 to 2003. Scientometrics, 67(3), 419–435.

    Article  Google Scholar 

  • ISTIC. (2013). About ISTIC. Retrieved August 21, 2013. http://www.istic.ac.cn/English/

  • Law, J., & Whittaker, J. (1992). Mapping acidification research: A test of the co-word method. Scientometrics, 23(3), 417–461.

    Article  Google Scholar 

  • Leta, J., Glänzel, W., & Thijs, B. (2006). Science in Brazil. Part 2: Sectoral and institutional research profiles. Scientometrics, 67(1), 87–105.

    Article  Google Scholar 

  • Liu, X., & Ma, F. (2013). Transfer and distribution of knowledge creation activities of bio-scientists in knowledge space. Scientometrics, 95(1), 299–310.

    Article  Google Scholar 

  • López-Illescas, C., de Moya-Anegón, F., & Moed, H. F. (2011). A ranking of universities should account for differences in their disciplinary specialization. Scientometrics, 88(2), 563–574.

    Article  Google Scholar 

  • McCloskey, D. N. (1998). The rhetoric of economics. Wisconsin: University of Wisconsin Press.

    Google Scholar 

  • Miguel, S., Moya-Anegón, F., & Herrero-Solana, V. (2008). A new approach to institutional domain analysis: multilevel research fronts structure. Scientometrics, 74(3), 331–344.

    Article  Google Scholar 

  • Milojević, S., Sugimoto, C. R., Yan, E., & Ding, Y. (2011). The cognitive structure of Library and Information Science: Analysis of article title words. Journal of the American Society for Information Science and Technology, 62(10), 1933–1953.

    Article  Google Scholar 

  • Moed, H. F., de Moya-Anegón, F., López-Illescas, C., & Visser, M. (2011). Is concentration of university research associated with better research performance? Journal of Informetrics, 5(4), 649–658.

    Article  Google Scholar 

  • National Science Library. (2013). About the Libraries Home. Retrieved August 21, 2013. http://english.las.cas.cn/au/

  • Niu, B., Hong, S., Yuan, J., Peng, S., Wang, Z., & Zhang, X. (2014). Global trends in sediment-related research in earth science during 1992–2011: A bibliometric analysis. Scientometrics, 98(1), 511–529.

    Article  Google Scholar 

  • Pouris, A., & Ho, Y. S. (2014). Research emphasis and collaboration in Africa. Scientometrics, 98(3), 2169–2184.

    Article  Google Scholar 

  • Quoniam, L., Balme, F., Rostaing, H., Giraud, E., & Dou, J. M. (1998). Bibliometric law used for information retrieval. Scientometrics, 41(1), 83–91.

    Article  Google Scholar 

  • Rip, A., & Courtial, J. P. (1984). Co-word maps of biotechnology: An example of cognitive scientometrics. Scientometrics, 6(6), 381–400.

    Article  Google Scholar 

  • STolZ, I., Hendel, D. D., & Horn, A. S. (2010). Ranking of rankings: Benchmarking twenty-five higher education ranking systems in Europe. Higher Education, 60(5), 507–528.

    Article  Google Scholar 

  • Su, X., Deng, S., & Shen, S. (2014). The design and application value of the Chinese Social Science Citation Index. Scientometrics, 98(3), 1567–1582.

    Article  Google Scholar 

  • Thijs, B., & Glänzel, W. (2008). A structural analysis of publication profiles for the classification of European research institutes. Scientometrics, 74(2), 223–236.

    Article  Google Scholar 

  • Thijs, B., & Glänzel, W. (2010). A structural analysis of collaboration between European research institutes. Research Evaluation, 19(1), 55–65.

    Article  Google Scholar 

  • Van Eck, N. J., & Waltman, L. (2009). How to normalize cooccurrence data? An analysis of some well-known similarity measures. Journal of the American Society for Information Science and Technology, 60(8), 1635–1651.

    Article  Google Scholar 

  • Van Raan, A. F. J. (2005). Fatal attraction: Conceptual and methodological problems in the ranking of universities by bibliometric methods. Scientometrics, 62(1), 33–143.

    Google Scholar 

  • Waltman, L., Calero-Medina, C., Kosten, J., Noyons, E., Tijssen, R. J., Eck, N. J., et al. (2012). The Leiden Ranking 2011/2012: Data collection, indicators, and interpretation. Journal of the American Society for Information Science and Technology, 63(12), 2419–2432.

    Article  Google Scholar 

  • Yan, E., Ding, Y., & Zhu, Q. (2010). Mapping Library and Information Science in China: A coauthorship network analysis. Scientometrics, 83(1), 115–131.

    Article  Google Scholar 

  • Yan, E., & Sugimoto, C. R. (2011). Institutional interactions: Exploring the social, cognitive, and geo-graphic relationships between institutions as demonstrated through citation networks. Journal of the American Society for Information Science and Technology, 62(8), 1498–1514.

    Article  Google Scholar 

  • Yi, S., & Choi, J. (2012). The organization of scientific knowledge: the structural characteristics of keyword networks. Scientometrics, 90(3), 1015–1026.

    Article  Google Scholar 

  • Zhao, R., & Wang, J. (2011). Visualizing the research on pervasive and ubiquitous computing. Scientometrics, 86(3), 593–612.

    Article  Google Scholar 

  • Zhu, J., Hassan, S. U., Mirza, H. T., & Xie, Q. (2014). Measuring recent research performance for Chinese universities using bibliometric methods. Scientometrics, 101(1), 429–443.

  • Zong, Q. J., Shen, H. Z., Yuan, Q. J., Hu, X. W., Hou, Z. P., & Deng, S. G. (2013). Doctoral dissertations of Library and Information Science in China: A co-word analysis. Scientometrics, 94(2), 781–799.

    Article  Google Scholar 

Download references

Acknowledgments

The authors are grateful to anonymous referees and editors for their invaluable and insightful comments. This study is supported by the project of National Natural Science Foundation of China (No. 71273197), the project of the National Social Science Fund for Youth of China (No. 14CTQ042), and the MOE (Ministry of Education in China) Project of Humanities and Social Sciences (13YJC870008). The authors would like to give special thanks to Dr. Shuguang Han (University of Pittsburgh) for his valuable comments and editorial help.

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Chen, G., Xiao, L., Hu, Cp. et al. Identifying the research focus of Library and Information Science institutions in China with institution-specific keywords. Scientometrics 103, 707–724 (2015). https://doi.org/10.1007/s11192-015-1545-2

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