Skip to main content
SpringerLink
Log in

Using neural networks to study networks of scientific journals

  • Published:
Scientometrics Aims and scope Submit manuscript

Abstract

In this paper a new approach to study science dynamics is introduced. This approach is based in the use of Kohonen preserving topology maps, a kind of neural network. Four data set consisting in cross-citation matrix are studied using this approach. Relations maps and domains maps are computed for these data sets and interrelationships among journals are studied. This approach allow to stude both, hierarchical journal structure in a given time and evolution of relations among journals in a given time lag.

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.

Institutional subscriptions

Similar content being viewed by others

References

  1. L. Leydesdorff, Various methods for the mapping of science,Scientometrics, 11 (1987) 295–324.

    Google Scholar 

  2. H. Small, E. Sweeney, Clustering the Science Citation Index using co-citations I. A comparison of methods,Scientometrics, 7 (1985) 391–420.

    Article  Google Scholar 

  3. H. Small, E. Sweeney, E. Greenle, Clustering the Science Citation Index using co-citations I. Mapping science,Scientometrics, 8 (1985) 321–340.

    Article  Google Scholar 

  4. L. A. Liewrouw, Four programs of research in scientific communication,Knowledge in Society, 1 (1988) 6–22.

    Google Scholar 

  5. H. Small, E. Garfield, The geography of science: disciplinary and national mappings,Journal of Information Science, 11 (1985) 147–159.

    Google Scholar 

  6. R. J. W. Tijssen, A. F. J. van Raan, W. J. Heiser, L. Wachmann, Integrating multiple sources of information in literature-based maps of science,Journal of Information Science, 16 (1990) 217–227.

    Google Scholar 

  7. H. Small, Macro-level changes in the structure of co-citation clusters: 1983–1989,Scientometrics, 26 (1993) 5–20.

    Article  Google Scholar 

  8. E. Garfield, Journal citation studies. 46. Physical Chemistry and Chemical Physics Journals. Part 1. Historical background and global maps,Current Contents, 1 (1986) 3–10.

    Google Scholar 

  9. B. Dixon, The 102 most-cited life-sciences publication in the new 1945–1954 Science Citation Index. Part 1. Titles, journals and research fronts,Current Contents, 15 (1989) 4–10.

    Google Scholar 

  10. N. Midorikawa, Citation analysis of Physics journals: comparison of subfields of Physics,Scientometrics, 5 (1983) 361–374.

    Google Scholar 

  11. G. Pinski, Influence and interrelationship of chemical journals,Journal of Chemical Information and Computer Sciences, 17 (1977) 67–74.

    Google Scholar 

  12. T. Saito, A clustering method using the strength of citation,Journal of Information Science, 16 (1990) 175–181.

    Google Scholar 

  13. L. Leydesdorff, In search of epistemic networks,Social Studies of Science, 21 (1991) 75–110.

    Google Scholar 

  14. A. F. J. Van Raan, R. J. W. Tijssen, The neural net of neural network research,Scientometrics, 26 (1993) 169–192.

    Google Scholar 

  15. L. A. Lievrouw, E. M. Rogers, C. U. Lowe, E. Nadel, Triangulations as a research strategy for identifying invisible colleges among biomedical scientists,Social Networks, 9 (1987) 217–248.

    Google Scholar 

  16. K. W. McCain, The paper trails of scholarship: mapping the literature of genetics,Library Quarterly, 56 (1986) 258–271.

    Google Scholar 

  17. P. Doreian, A revised measure of standing of journals in stratified networks,Scientometrics, 11 (1987) 71–80.

    Google Scholar 

  18. P. Hummon, P. Doreian, Connectivity in a citation network: The development of DNA theory,Social Networks, 11 (1989) 39–63.

    Google Scholar 

  19. P. Doreian, A measure of standing for citation networks within a wider environment,Informatin Processing & Management, 30 (1994) 21–31.

    Google Scholar 

  20. M. Bonitz, Journal ranking by different parameters. Part I. Collectivity and selective collectivity: two ranking parameters reflecting the structure of a journal network,Scientometrics, 18 (1990) 57–73.

    Google Scholar 

  21. D. J. S. Price, Networks of scientific papers,Science, 149 (1965) 510–515.

    Google Scholar 

  22. R. E. Rice, Hierarchies and clusters among communication and library and information science journals, 1977–1987, In:C. Boreman (Ed.),Scholarly Communication and Bibliometrics, Newbury Park, Ca-Sage, 1990, p. 138–153.

    Google Scholar 

  23. R. Todorov, W. Glänzel, Journal citation measures: a concise review,Journal of Information Science, 14 (1988) 47–56.

    Google Scholar 

  24. F. Narin, M. P. Carpenter, N. C. Berlt, Interrelationships of scientific journals,Journal of the American Society for Information Science, 23 (1972) 323–331.

    Google Scholar 

  25. T. Kohonen, The self-organizing map,Proceedings of the IEEE, 78 (1990) 1464–1480.

    Google Scholar 

  26. H. Ritter, K. Schulten, Convergence properties of Kohonen's topology conserving maps: fluctuations, stability and dimension selection,Biological Cybernetics, 60 (1988a) 59–71.

    Google Scholar 

  27. T. Kohonen, Analysis of a simple self-organizing process,Biological Cybernetics, 44 (1982a) 135–140.

    Google Scholar 

  28. V. S. Rose, I. F. Croall, H. J. H. MacFie, An application of unsupervised neural network methodology (Kohonen topology-preserving mapping) to QSAR analysis,Quantitative Structure-Activity Relations, 10 (1991) 6–15.

    Google Scholar 

  29. P. G. Schyns, A modular neural network model of concept acquisition,Cognitive Science, 15 (1991) 461–508.

    Google Scholar 

  30. H. J. Ritter, K. Schulten, Kohonen's self-organizing maps: exploring their computational capabilities,IEEE-ICNN 88 Conference, San Diego: -IEEE Computer Society, 1988b, p. 109–116.

    Google Scholar 

  31. H. J. Ritter, T. M. Martinez, K. J. Schulten, Topology-conserving maps for learning visuo-motor-coordination,Neural Networks, 2 (1989) 159–168.

    Google Scholar 

  32. R. E. Rice, C. L. Borgman, B. Reeves, Citation networks of communication journals 1977–1985. Cliques and positions, citations made and citations received,Human Communication Research, 15 (1988) 256–283.

    Google Scholar 

  33. P. Doreian, T. J. Fararo, Structural equivalence in a journal network,Journal of the American Society for Information Science, 36 (1985) 28–37.

    Google Scholar 

  34. T. Kohonen, Self-organized formation of topologically correct feature maps,Biological Cybernetics, 43 (1982b) 59–69.

    Google Scholar 

  35. H. Ritter, T. Kohonen, Self-organizing semantic maps,Biological Cybernetics, 61 (1989) 241–254.

    Google Scholar 

  36. L. Leydesdorff, The development of frames of references,Scientometrics, 9 (1986) 103–125.

    Article  Google Scholar 

  37. P. K. Simpson,Artificial Neural Systems, New York, NY-Pergamon Press 1990.

    Google Scholar 

  38. D. E. Rumelhart, J. L. McClelland,Parallel Distributed Processing, Cambridge, Ma-MIT Press, 1986.

    Google Scholar 

  39. J. Hertz, A. Krogh, R. G. Palmer,Introduction to the Theory of Neural Computation, Redwood City, Ca-Addison-Wesley, 1991.

    Google Scholar 

  40. M. P. Carpenter, F. Narin, Clustering of scientific journals,Journal of the American Society for Information Science, 24 (1973) 425–436.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Grupo de Investigación en Aprendizaje de las Ciencias, Departamento de Física, Universidad de Alcalá, 28871, Alcalá de Henares Madrid, (Spain)

    J. M. Campanario

Authors
  1. J. M. Campanario
    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

Campanario, J.M. Using neural networks to study networks of scientific journals. Scientometrics 33, 23–40 (1995). https://doi.org/10.1007/BF02020773

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02020773

Keywords

Search

Navigation