Software survey: VOSviewer, a computer program for bibliometric mapping

Scientometrics - Tập 84 - Trang 523-538 - 2009
Nees Jan van Eck1,2, Ludo Waltman1,2
1Centre for Science and Technology Studies, Leiden University, Leiden, The Netherlands
2Econometric Institute, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, The Netherlands

Tóm tắt

We present VOSviewer, a freely available computer program that we have developed for constructing and viewing bibliometric maps. Unlike most computer programs that are used for bibliometric mapping, VOSviewer pays special attention to the graphical representation of bibliometric maps. The functionality of VOSviewer is especially useful for displaying large bibliometric maps in an easy-to-interpret way. The paper consists of three parts. In the first part, an overview of VOSviewer’s functionality for displaying bibliometric maps is provided. In the second part, the technical implementation of specific parts of the program is discussed. Finally, in the third part, VOSviewer’s ability to handle large maps is demonstrated by using the program to construct and display a co-citation map of 5,000 major scientific journals.

Tài liệu tham khảo

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. Bollen, J., Van de Sompel, H., Hagberg, A., Bettencourt, L., Chute, R., Rodriguez, M. A., et al. (2009). Clickstream data yields high-resolution maps of science. PLoS ONE, 4(3), 4803. Borg, I., & Groenen, P. J. F. (2005). Modern multidimensional scaling (2nd ed.). Berlin: Springer. Börner, K., Chen, C., & Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37, 179–255. Boyack, K. W., Klavans, R., & Börner, K. (2005). Mapping the backbone of science. Scientometrics, 64(3), 351–374. Chen, C. (2003). Mapping scientific frontiers. Berlin: Springer. Chen, C. (2006). CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for Information Science and Technology, 57(3), 359–377. Davidson, G. S., Wylie, B. N., & Boyack, K. W. (2001). Cluster stability and the use of noise in interpretation of clustering. In Proceedings of the IEEE symposium on information visualization 2001, pp. 23–30. de Moya-Anegón, F., Vargas-Quesada, B., Chinchilla-Rodríguez, Z., Corera-Álvarez, E., Munoz-Fernández, F. J., & Herrero-Solana, V. (2007). Visualizing the marrow of science. Journal of the American Society for Information Science and Technology, 58(14), 2167–2179. De Nooy, W., Mrvar, A., & Batagelj, V. (2005). Exploratory social network analysis with Pajek. Cambridge: Cambridge University Press. Eilers, P. H. C., & Goeman, J. J. (2004). Enhancing scatterplots with smoothed densities. Bioinformatics, 20(5), 623–628. Fruchterman, T. M. J., & Reingold, E. M. (1991). Graph drawing by force-directed placement. Software: Practice and Experience, 21(11), 1129–1164. Garfield, E. (2009). From the science of science to Scientometrics visualizing the history of science with HistCite software. Journal of Informetrics, 3(3), 173–179. Huisman, M., & Van Duijn, M. A. J. (2005). Software for social network analysis. In J. Scott, S. Wasserman, & P. J. Carrington (Eds.), Models and methods in social network analysis (pp. 270–316). Cambridge: Cambridge University Press. Kamada, T., & Kawai, S. (1989). An algorithm for drawing general undirected graphs. Information Processing Letters, 31(1), 7–15. Klavans, R., & Boyack, K. W. (2006a). Identifying a better measure of relatedness for mapping science. Journal of the American Society for Information Science and Technology, 57(2), 251–263. Klavans, R., & Boyack, K. W. (2006b). Quantitative evaluation of large maps of science. Scientometrics, 68(3), 475–499. Kopcsa, A., & Schiebel, E. (1998). Science and technology mapping: A new iteration model for representing multidimensional relationships. Journal of the American Society for Information Science, 49(1), 7–17. Leydesdorff, L. (2004). Clusters and maps of science journals based on bi-connected graphs in Journal Citation Reports. Journal of Documentation, 60(4), 371–427. Leydesdorff, L., & Rafols, I. (2009). A global map of science based on the ISI subject categories. Journal of the American Society for Information Science and Technology, 60(2), 348–362. Peters, H. P. F., & Van Raan, A. F. J. (1993). Co-word-based science maps of chemical engineering. Part I: Representations by direct multidimensional scaling. Research Policy, 22(1), 23–45. Rip, A., & Courtial, J.-P. (1984). Co-word maps of biotechnology: An example of cognitive scientometrics. Scientometrics, 6(6), 381–400. Schvaneveldt, R. W. (Ed.). (1990). Pathfinder associative networks. Westport: Ablex. Schvaneveldt, R. W., Dearholt, D. W., & Durso, F. T. (1988). Graph theoretic foundations of pathfinder networks. Computers and Mathematics with Applications, 15(4), 337–345. Scott, D. W. (1992). Multivariate density estimation. London: Wiley. Skupin, A. (2004). The world of geography: Visualizing a knowledge domain with cartographic means. Proceedings of the National Academy of Sciences, 101(Suppl 1), 5274–5278. Small, H., & Sweeney, E. (1985). Clustering the Science Citation Index using co-citations. I. A comparison of methods. Scientometrics, 7(3–6), 391–409. Van Eck, N. J., & Waltman, L. (2007a). VOS: A new method for visualizing similarities between objects. In H.-J. Lenz & R. Decker (Eds.), Advances in data analysis: Proceedings of the 30th annual conference of the German Classification Society (pp. 299–306). Heidelberg: Springer. Van Eck, N. J., & Waltman, L. (2007b). Bibliometric mapping of the computational intelligence field. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 15(5), 625–645. 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. Van Eck, N. J., Waltman, L., Dekker, R., & Van den Berg, J. (2008). An experimental comparison of bibliometric mapping techniques. Paper presented at the 10th International Conference on Science and Technology Indicators, Vienna. Van Eck, N. J., Waltman, L., Noyons, E. C. M., & Buter, R. K. (in press). Automatic term identification for bibliometric mapping. Scientometrics. Van Eck, N. J., Waltman, L., Van den Berg, J., & Kaymak, U. (2006). Visualizing the computational intelligence field. IEEE Computational Intelligence Magazine, 1(4), 6–10. Van Liere, R., & De Leeuw, W. (2003). GraphSplatting: Visualizing graphs as continuous fields. IEEE Transactions on Visualization and Computer Graphics, 9(2), 206–212. Vargas-Quesada, B., & de Moya-Anegón, F. (2007). Visualizing the structure of science. New York: Springer. White, H. D. (2003). Pathfinder networks and author cocitation analysis: A remapping of paradigmatic information scientists. Journal of the American Society for Information Science and Technology, 54(5), 423–434. Zitt, M., Bassecoulard, E., & Okubo, Y. (2000). Shadows of the past in international cooperation: Collaboration profiles of the top five producers of science. Scientometrics, 47(3), 627–657.