Skip to main content
SpringerLink
Log in

A new technique for building maps of large scientific domains based on the cocitation of classes and categories

  • Published:
Scientometrics Aims and scope Submit manuscript

Abstract

Our objective is the generation of schematic visualizations as interfaces for scientific domain analysis. We propose a new technique that uses thematic classification (classes and categories) as entities of cocitation and units of measure, and demonstrate the viability of this methodology through the representation and analysis of a domain of great dimensions. The main features of the maps obtained are discussed, and proposals are made for future improvements and applications.

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

Access this article

Log in via an institution

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

  1. Framework of a Visualization System [Web page], Available at: http://www.siggraph.org/education/materials/HyperVis/abs_con1/main.htm [Review at: 08/08/2003], (1999).

  2. COSTA, J., La esquemática: visualizar la información, Barcelona, Paidós, 1998.

    Google Scholar 

  3. HJØRLAND, B., ALBRECHTSEN, H., Toward a new horizon in information science: domain analysis, Journal of the American Society for Information Science (JASIS), 46 (1995) 400–425.

    Article  Google Scholar 

  4. DOYLE, L. B., Semantic roadmaps for literature searchers, Journal of the Association for Computing Machinery, 8 (1961) 553–578.

    MATH  MathSciNet  Google Scholar 

  5. GARFIELD, E., Citation indexes in sociological and historical research, American Documentation, 14 (1963) 289–291.

    Google Scholar 

  6. GARFIELD, E., SHER, I. H., TORPIE, R. J., The Use of Citation Data in Writing the History of Science, Philadelphia, Institute for Scientific Information, (1964).

    Google Scholar 

  7. PRICED., J. D., Networks of scientific papers, Science, 149 (1965) 510–515.

    Google Scholar 

  8. SMALL, H., Co­citation in the scientific literature: a new measure of the relationship between two documents, Journal of the American Society for Information Science (JASIS), 24 (1973) 265–269.

    Google Scholar 

  9. MARSHAKOVA, I. V., System of document connection based on references, Nauchno­Teknichescaya Informatisya, Series II (6) (1973) 3–8.

    Google Scholar 

  10. SMALL, H., GRIFFITH, B. C., The structure of scientific literature, I: Identifying and graphing specialyties, Science Studies, 4 (1974) 17–40.

    Google Scholar 

  11. GRIFFITH, B. C., SMALL, H., STONEHILL, J. A., DEY, S., The structure of scientific literature, II: Toward a macro and microstructure for science, Science Studies, 4 (1974) 339–365.

    Google Scholar 

  12. AARONSON, S., The footnotes of science, Mosaic, 6 (March­April) (1975) 22–27.

    Google Scholar 

  13. GARFIELD, E., ISI.s Atlas of Science may help students in choice of career in science, Current Contents, 29 (July 21) (1975) 5–8.

    Google Scholar 

  14. GARFIELD, E., Introducing the ISI Atlas of Science: Biochemistry and molecular biology, 1978­80, Current Contents, (42) (1981) 5–13.

    Google Scholar 

  15. GARFIELD, E., Introducing the ISI Atlas of Science: Biotechnology and molecular genetics, 1981/82 and bibliographic update for 1983/84, Current Contents, (41) (1984) 3–15.

    Google Scholar 

  16. GARFIELD, E., The encyclopedic ISI­Atlas of Science launches 3 new sections: bochemistry, inmunology, and animal and plant sicences, Current Contents, (7) (1988) 3–8.

    Google Scholar 

  17. SEIDEN, L. S., SWANSON, D. R., ISI Atlas of Science: Pharmacology 1987, Vol 1, Library Quarterly, 59 (1989) 72–73.

    Article  Google Scholar 

  18. SMALL, H., The relationship of information science to the social sciences: a co­citation analysis, Information Processing & Management, 17 (1981) 39–50.

    Article  Google Scholar 

  19. SMALL, H., GARFIELD, E., The geography of science: disciplinary and national mappings, Journal of Information Science, 11(4) (1985) 147–159.

    Google Scholar 

  20. SMALL, H., SWEENEY, E., Clustering the science citation index using co­citations. 1. A comparison of methods, Scientometrics, 7 (1985) 391–409.

    Article  Google Scholar 

  21. SMALL, H., SWEENEY, E., GREENLEE, E., Clustering the science citation index using co.citations. 2. Mapping science, Scientometrics, 8 (1985) 321–340.

    Article  Google Scholar 

  22. SMALL, H., Macrolevel changes in the structure of cocitation clusters: 1983­1989, Scientometrics, 26 (1993) 5–20.

    Article  Google Scholar 

  23. SMALL, H., A SCI­MAP case­study: building a map of aids research, Scientometrics, 30 (1994) 229–241.

    Article  Google Scholar 

  24. SMALL, H., Visualizing science by citation mapping, Journal of the American Society for Information Science (JASIS), 50 (1999) 799–813.

    Article  Google Scholar 

  25. SMALL, H., Charting pathways through science: exploring Garfield.s vision of a unified index to science, In: B. CRONIN, H. B. ATKINS(Eds), The Web of Knowledge: A Festschrift in Honor of Eugene Garfield. Medford, N. J. Information Today, 2000, pp. 449–473.

  26. BÖRNER, K., CHEN, C., BOYACK, K. W., Visualizing knowledge domains, Annual Review of Information Science & Technology, 37 (2003) 179–255.

    Article  Google Scholar 

  27. BRAAM, R. R., MOED, H. F., VAN RAAN, A. F. J., Mapping of Science by combined co­citation and word analysis.I: Structural aspects, Journal of the American Society for Information Science (JASIS), 42 (1991) 233–251.

    Article  Google Scholar 

  28. BRAAM, R. R., MOED, H. F., VAN RAAN, A. F. J., Mapping of Science by combined co­citation and word analysis. II: Dynamic aspects, Journal of the American Society for Information Science (JASIS), 42 (1991) 252–266.

    Article  Google Scholar 

  29. LIN, X., SOERGEL, D., MARCHIONINI, G., A self­organizing semantic map for information retrieval, In: Proceedings of the Fourteenth Annual International ACM/SIGIR Conference on Research and Development in Information Retrieval, Chicago, 1991, pp. 262.269.

  30. WHITE, H. D., MC CAIN, K. W., Visualization of literatures, Annual Review of Information Systems and Technology (ARIST), 32 (1997) 99–168.

    Google Scholar 

  31. WHITE, H. D., MC CAIN, K. W., Visualizing a discipline: an author co­citation analysis of information science, 1972­1995, Journal of the American Society for Information Science (JASIS), 49 (1998) 327–355.

    Google Scholar 

  32. GARFIELD, E., Mapping the World of Science (at the 150 Anniversary Meeting of the AAAS, Philadelphia, PA), [On­line], http://www.garfield.library.upenn.edu/papers/mapsciworld.html [Consulted: 07/05/2003], 1998.

  33. WHITE, H. D., LIN, X., MCCAIN, K. W., Two modes of automated domain analysis: multidimensional scaling vs. Kohonen feature mapping of information science authors, In: Proceedings of the Fifth International ISKO Conference, Würzberg, Ergon Verlag, 1998, pp. 57–61.

  34. DING, Y., CHOWDHURY, G. G., FOO, S., QIAN, W., Bibliometric information retrieval systems (BIRS): a web search interface utilizing bibliometric research results, Journal of the American Society for Information Science (JASIS), 51 (2000) 1190–1204.

    Article  Google Scholar 

  35. WHITE, H. D., Toward ego­centered citation analysis, In: B. CRONIN, H. B. ATKINS(Eds), The Web of Knowledge: A Festschrift in Honor of Eugene Garfield, Medford, N. J. Information Today, 2000, pp. 475–498.

  36. NOYONS, E. C. M., MOED, H. F., LUWEL, M., Combining mapping and citation analysis for evaluative bibliometric purposes: a bibliometric study, Journal of the American Society for Information Science(JASIS), 50 (1999) 115–131.

    Article  Google Scholar 

  37. BUTER, R. K., NOYONS, E. C. M., Improving the functionality of interactive bibliometric science maps, Scientometrics, 51 (2001) 55–67.

    Article  Google Scholar 

  38. NOYONS, E. C. M., Bibliometric mapping of science in a science policy context, Scientometrics, 50 (2001) 83–98.

    Article  Google Scholar 

  39. CHEN, C., PAUL, R. J., Visualizing a knowledge domain’s intellectual structure, Computer, 34(3) (2001) 65–71.

    Article  Google Scholar 

  40. CHEN, C., PAUL, R. J., O.Keefe, B., Fitting the jigsaw of citation: information visualization in domain analysis, Journal of the American Society for Information Science and Technology (JASIST), 52 (2001) 315–330.

    Article  Google Scholar 

  41. DING, Y., CHOWDHURY, G. G., FOO, S., Bibliometric cartography of information retrieval research by using co­word analysis, Information Processing & Management, 37 (2001) 801–817.

    Article  Google Scholar 

  42. INGWERSEN, P., LARSEN, B., Mapping national research profiles in social science disciplines, Journal of Documentation, 57 (2001) 715–740.

    Article  Google Scholar 

  43. GUERRERO BOTE, V. P., MOYA ANEGÓN, F. D., HERREROSOLANA, V., Document organization using Kohonen’s algorithm, Information Processing & Management, 38 (2002) 79–89.

    Article  MATH  Google Scholar 

  44. WHITE, H. D., BUZYDLOWSKI, J., LIN, X., Co­cited author maps as interfaces to digital libraries: designing Pathfinder Networks in the humanities, In: IEEE International Conference on Information Visualization, London, 2000, pp. 25–30.

  45. BUZYDLOWSKI, J., WHITE, H. D., LIN, X., Term co­occurrence analysis as an interface for digital libraries, Lecture Notes in Computer Science Series, 2539 (2002) 133–144.

    Article  MATH  Google Scholar 

  46. LIN, X., WHITE, H. D., BUZYDLOWSKI, J., Real­time author co­citation mapping for online searching, Information Processing & Management, (2003) 689–706.

  47. CHEN, C., Information Visualization and Virtual Environments, Berlin, Springer, (1999). F. MOYA­ANEGÓNet al.: Maps of large scientific domains Scientometrics 61 (2004)

  48. WHITE, H. D., Author­centered bibliometrics through CAMEOs: characterizations automatically made and edited online, Scientometrics, 51 (2001) 607–637.

    Article  Google Scholar 

  49. SMALL, H., Paradigms, citations and maps of science: a personal history, Journal of the American Society for Information Science and Technology (JASIST), 54 (2003) 394–399.

    Article  Google Scholar 

  50. CHEN, C., KULJIS, J., The rising landscape: a visual exploration of superstring revolutions in physics, Journal of the American Society for Information Science and Technology (JASIST), 54 (2003) 435–446.

    Article  Google Scholar 

  51. MORRIS, S. A., YEN, G., WU, Z., ASNAKE, B., Time line visualization of research fronts, Journal of the American Society for Information Science and Technology (JASIST), 54 (2003) 413–422.

    Article  Google Scholar 

  52. BOYACK, K. W., BÖRNER, K., Indicator­assisted evaluation and funding of research: visualizing the influence of grants on the number and citation counts of research papers, Journal of the American Society for Information Science and Technology (JASIST), 54 (2003) 447–461.

    Article  Google Scholar 

  53. TUFTE, E. R., Envisioning Information, Cheshire, Graphics Press, 1994.

    Google Scholar 

  54. TUFTE, E. R., The Visual Display of Quantitative Information, Cheshire, Graphics Press, (2001).

    Google Scholar 

  55. Thomson­ISI, ISI Journal Citation Reports [Web page], Available at: http://isi6.isiknowledge.com [Review at: 09/07/2003], 2003.

  56. ANEP, Agencia Nacional de Evaluación y Prospectiva [Web page], Available at: http://www.mcyt.es/sepct/ANEP/anep.htm [Review at: 09/07/2003], 2003.

  57. Thomson­ISI, ISI Web of Science [Web page], Available at: http://wos.cica.es/

  58. SALTON, G., BERGMARK, D., A citation study of computer science literature, Professional Communication, IEEE Transaction, PC­22 (1979) 146–158.

  59. KAMADA, T., KAWAI, S., An algorithm for drawing general undirected graphs, Information Processing Letters, 31 (1989) 7–15.

    Article  MATH  MathSciNet  Google Scholar 

  60. WHITE, H. D., Pathfinder networks and author cocitation analysis: a remapping of paradigmatic information scientist, Journal of the American Society for Information Science and Technology (JASIST), 54 (2003) 423–434.

    Article  Google Scholar 

  61. W3C, Scalable Vector Graphics (SVG) [Web page], Available at: http://www.w3.org/Graphics/SVG/ [Review at: 10/09/2003], 2003.

  62. W3C, Scalable Vector Graphics (SVG) 1.1 Especification [Web page], Available at: http://www.w3.org/TR/SVG11/ [Review at: 12/09/2003], 2003.

Download references

Author information

Authors and Affiliations

  1. University of Granada, Library and Information Science Faculty, Campus Cartuja 18071 Granada, Spain

    Félix Moya-Anegón, Benjamín Vargas-Quesada, Victor Herrero-Solana, Zaida Chinchilla-Rodríguez, Elena Corera-Álvarez & Francisco J. Munoz-Fernández

Authors
  1. Félix Moya-Anegón
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Benjamín Vargas-Quesada
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Victor Herrero-Solana
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Zaida Chinchilla-Rodríguez
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Elena Corera-Álvarez
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Francisco J. Munoz-Fernández
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

About this article

Cite this article

Moya-Anegón, F., Vargas-Quesada, B., Herrero-Solana, V. et al. A new technique for building maps of large scientific domains based on the cocitation of classes and categories. Scientometrics 61, 129–145 (2004). https://doi.org/10.1023/B:SCIE.0000037368.31217.34

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/B:SCIE.0000037368.31217.34

Keywords

Search

Navigation