Skip to main content
Log in

A general framework for creating large-scale maps of science in two or three dimensions: The SciViz system

  • Published:
Scientometrics Aims and scope Submit manuscript

Abstract

Data visualization techniques have opened up new possibilities for science mapping. To exploit this opportunity new methods are needed to position tens of thousands of documents in a single coordinate space. A general framework is described for achieving this goal involving hierarchical clustering, ordination of clusters, and the merging of ordinations into a common coordinate space. The SciViz system is presented as one particular implementation of this framework.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Callon, M., Law, J., Rip, J. (1986), Qualitative scientometrics. In:M. Callon, J. Law, A. Rip (Eds),Mapping the Dynamics of Science and Technology, p. 103. The Macmillan Press Ltd.

  • Gershon, N. (Ed.) (1996),Proceedings of the IEEE Symposium on Information Visualization (InfoVis'96), IEEE Computer Society Press and ACM/SIGGRAPH.

  • Higgs, P. (1995), Labs' ‘virtural reality’ shell gets down to business,Sandia Lab News.

  • Jain, A., Dubes, R. C. (1988),Algorithms for Clustering Data, Prentice-Hall.

  • Jog, N., Shneiderman, B. (1995), Starfield information visualization with interactive smooth zooming. In:IFIP 2/6 Visual Databases Systems Proceedings, p. 1. North-Holland.

  • Johnson, B., Shneiderman, B. (1991), Tree-maps: a space-filling approach to the visualization of hierarchical information structures. In:G. M. Nielson, L. Rosenblum (Eds),Proceedings: Visualization '91, p. 284. IEEE Computer Society Press.

  • Lin, X. (1997), Map displays for information retrieval,Journal of the American Society for Information Science, 48: 40.

    Article  Google Scholar 

  • Small, H., Griffith, B.C. (1974), The structure of scientific literature I: identifying and graphing specialties,Science Studies, 4: 17.

    Google Scholar 

  • Small, H., Garfield, E. (1985), The geography of science: disciplinary and national mappings,Journal of Information Science, 11: 147.

    Google Scholar 

  • Small, H. (1997), Update on science mapping: creating large document spaces,Scientometrics, 38: 275.

    Article  Google Scholar 

  • Small, H. (1995), Navigating the citation network. In:T. Kinney (Ed.),Proceedings of the 58th Annual Meeting of the American Society for Information Science, v. 32: 118. Information Today.

  • Small, H. (1994), A SCI-Map case study: building a map of AIDS research,Scientometrics, 30: 229.

    Article  Google Scholar 

  • Sneath, P. H., Sokal, R. R. (1973),Numerical Taxonomy. W.H. Freeman and Co.

  • Wise, J.A., Thomas, J.J., Pennock, K., Lantrip, D., Pottier, M., Schur, A., Crow, V. (1995), Visualizing the non-visual: spatial analysis and interaction with information from text documents. In:N. Gershon, S.G. Eick (Eds),Proceedings of the IEEE Symposium on Information Visualization '95, p. 51. IEEE Computer Society Press.

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Small, H. A general framework for creating large-scale maps of science in two or three dimensions: The SciViz system. Scientometrics 41, 125–133 (1998). https://doi.org/10.1007/BF02457973

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02457973

Keywords

Navigation