Abstract
In this paper, we show a “Strategic Diagram” of the robot technology by applying the co-word analysis to the metadata of Korean related national R&D projects in 2001. The strategic diagram shows the evolutionary trends of the specific R&D domain and relational patterns between subdomains. We may use this strategic diagram to support both the strategic planning and the R&D Program.
Similar content being viewed by others
References
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.
Barre, R. (2004), S&T Indicators for Policy Making in a Changing Science-Society Relationship. In: Moed, H. K., Glanzel, W., Schmoch, U. (Eds), Handbook of Quantitative Science and Technology Research. Kluwer Academic Publishers, pp. 115–131.
Bauin, S., Michelet, B., Schweighoffer, M. G., Vermeulin, P. (1991), Using bibliometrics in strategic analysis: understanding chemical reactions at the CNRS, Scientometrics, 22 (1): 113–137.
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 chemistry, Scientometrics, 22 (1): 155–205.
Callon, M., Law, J., Rip, A. (1986), Mapping the dynamics of science and technology, The MacMillan Press Ltd., London.
Courtial, J. P., Callon, M., Sigogneau, A. (1993), The use of patent titles for identifying the topics of invention and forecasting trends, Scientometrics, 26 (2): 231–242.
Cui, X., Gao, J., Potok, T. E. (2006), A flocking based algorithm for document clustering analysis, Journal of systems architecture, 52: 505–515.
Ding, Y., Chowdhury, G. G., Foo, S. (2001), Bibliometric cartography of information retrieval research by using co-word analysis, Information Processing and Management, 37: 817–842.
Fujigaki, Y. (2002), Analysis on dynamics of research sub-domains in interdisciplinary fields: analysis using personal distribution versus papers, Scientometrics, 54 (1): 63–74.
Fujigaki, Y., Nagata, A. (1998), Concept evolution in science and technology policy: The process of change in relationship among university, industry and government, Science and Public Policy, 26 (6): 387–395.
He, Q. (1999), Knowledge discovery through co-word analysis, Library Trends, 48 (1): 133–159. http://en.wikipedia.org/wiki/Eigenvector_centrality
Itep (2001), Technology Roadmap for Robot, Korea Ministry of Commerce, Industry and Energy.
Kostoff, R. N., Rio, J. A., Cortes, H. D., Smith, C., Smith, A., Wagner, C., Leydesdorff, L., Karypis, G., Malpohl, G., Tshiteya, R. (2005), The structure and infrastructure of Mexico’s science and technology, Technological Forecasting and Social Change, 72: 798–814.
Kostoff, R. N., Rio, J. A., Cortes, H. D., Smith, C., Smith, A., Wagner, C., Leydesdorff, L., Karypis, G., Malpohl, G., Tshiteya, R. (2007), Clustering methodologies for identifying country core competencies, Journal of Information Science, 33 (1): 21–40.
Kumaresan, N., Miyazaki, K. (1999), An integrated network approach to systems of innovation-the case of robotics in Japan, Research Policy, 28: 563–585.
Leydesdorff, L. (1992), A validation study of LEXIMAPPE, Scientometrics, 25 (2): 295–312.
Leydesdorff, L. (2004), Top-down decomposition of the journal citation report of the social science citation index: graph-and factor-analytical approaches, Scientometrics, 60 (2): 159–180.
Leydesdorff, L., Zaal, R. (1988), Co-words and citations relations between documents sets and environments, Informetrics, 87/88: 105–119.
Mark, H., Van Duijn, M. A. J. (2005), Software for statistical analysis of social networks. In: Carrington, P. J., Scott, J., Wasserman, S. (Eds), Models and Methods in Social Networks Analysis, Cambridge University Press, p. 311.
Mccain, K.W. (1990), Mapping authors in intellectual space-A technical overview, Journal of the American Society for Information Science, 41 (6): 433–443.
Netminer User Manual, Cyram Co., Ltd.
Noyons, E. C. M., Van Raan, A. F. J. (1998), Monitoring scientific development from a dynamic perspective: self-organized structuring to map neural network research, JASIST, 49: 68–81.
Rooney, N., Patterson, D., Galushka, M., Dobrynin, V. (2006), A scaleable document clustering approach for large document corpora, Information Processing and Management, 42: 1163–1175.
Wasserman, S., Faust, K. (1999), Social Network Analysis: Methods and Applications, Cambridge University Press.
White, H. D., Griffith, B. (1981), Author cocitation: A literature measures of intellectual structure, Journal of the American Society for Information Science, 32: 163–171.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Lee, B., Jeong, YI. Mapping Korea’s national R&D domain of robot technology by using the co-word analysis. Scientometrics 77, 3–19 (2008). https://doi.org/10.1007/s11192-007-1819-4
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11192-007-1819-4