Advertisement

Scientometrics

, Volume 72, Issue 3, pp 469–486 | Cite as

Self-citations, co-authorships and keywords: A new approach to scientists’ field mobility?

  • Iina Hellsten
  • Renaud Lambiotte
  • Andrea Scharnhorst
  • Marcel Ausloos
Open Access
Article

Abstract

This paper introduces a new approach to detecting scientists’ field mobility by focusing on an author’s self-citation network, and the co-authorships and keywords in self-citing articles. Contrary to much previous literature on self-citations, we will show that author’s self-citation patterns reveal important information on the development and emergence of new research topics over time. More specifically, we will discuss self-citations as a means to detect scientists’ field mobility. We introduce a network based definition of field mobility, using the Optimal Percolation Method (Lambiotte & Ausloos, 2005; 2006). The results of the study can be extended to selfcitation networks of groups of authors and, generally also for other types of networks.

Keywords

Physical Review Citation Analysis Citation Network Scientific Collaboration Social Science Citation Index 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Aksnes, D. W. (2003), A macro study of self-citation, Scientometrics, 56(2): 235–246.CrossRefGoogle Scholar
  2. Barabási, A. L., Jeong, H., Néda, Z., Ravasz, E., Schubert, A., Vicsek, T. (2002), Evolution of the social network of scientific collaborations, Physica A, 311(3–4): 590–614.MATHCrossRefGoogle Scholar
  3. Bonzi, S., Snyder, H. W. (1991), Motivations for citation: A comparison of self citation and citation to others, Scientometrics, 21(2): 245–254.CrossRefGoogle Scholar
  4. Borokhovich, K., Bricker, R., Simkins, B. (1994), Journal communication and influence in financial research, The Journal of Finance, 49(2): 713–725.CrossRefGoogle Scholar
  5. Bruckner, E., Ebeling, W., Scharnhorst, A. (1990), The application of evolution models in scientometrics, Scientometrics, 18(1–2): 21–41.CrossRefGoogle Scholar
  6. Burger, M., Bujdosó, E. (1985), Oscillating chemical ractions as an example of the development of science, In: Field, R., Burger, M. (Eds), Oscillations and Traveling Waves in Chemical Systems, pp. 565–604.Google Scholar
  7. Börner, K., Chen, C. M., Boyack, K. W. (2003), Visualizing knowledge domains, Annual Review of Information Science and Technology, 37: 179–255.CrossRefGoogle Scholar
  8. Börner, K., Dall’asta, L., Ke, W., Vespignani, V. (2005), Studying the emerging global brain: analyzing and visualizing the impact of co-authorship teams, Complexity, 10(4): 57–67.CrossRefGoogle Scholar
  9. Boyack, K. W., Klavans, R., Börner, K (2005), Mapping the backbone of science, Scientometrics, 64(3): 351–374.CrossRefGoogle Scholar
  10. Cahlik, T., Jirina, M. (2006), Law of cumulative advantages in the evolution of scientific fields, Scientometrics, 66(3): 441–449.CrossRefGoogle Scholar
  11. Chen, C. M. (2003), Mapping Scientific Frontiers: The Quest for Knowledge Visualization. Springer, Berlin et al.Google Scholar
  12. Clauset, A. (2005), Finding local community structure in networks, Physical Review E, 72(2): 026132.Google Scholar
  13. Cronin, B., Shaw, D. (2002), Identity-creators and image-makers: Using citation analysis and thick description to put authors in their place, Scientometrics, 54(1): 31–49.CrossRefGoogle Scholar
  14. Derenyi, I., Palla, G., Vicsek, T. (2005), Clique percolation in random networks, Physical Review Letters, 94(16): 160202.Google Scholar
  15. Dyumenton, G. G. (1987), Seti nauchnykh kommunikatsii i organizatsiya fundamental’nykh issledovanii. Nauka, Moskva.Google Scholar
  16. Ebeling, W. (1976), Strukturbildung bei irreversiblen Prozessen. Einführung in die Theorie dissipativer Strukturen. Teubner-Verlag Leipzig 1976.Google Scholar
  17. Ebeling, W., Feistel, R. (1982), Physik der Selbstorganisation und Evolution. Akademie-Verlag Berlin (Second edition 1986).Google Scholar
  18. Ebeling, W., Scharnhorst, A. (1986), Selforganization models for field mobility of physicists, Czechoslovak Journal of Physics B, 36: 43–46.CrossRefGoogle Scholar
  19. Ebeling, W., Schweitzer, F., Tilch, B. (1999), Active Brownian particles with energy depots modeling animal mobility, Biosystems, 49: 17–29.CrossRefGoogle Scholar
  20. Fortunato, S., Latora, V., Marchiori, M. (2004), A method to find community structure based on information centrality, Physical Review E, 70(5): 056104.Google Scholar
  21. Garfield, E. (1955), Citation indexes for science, Science, 122(3159): 108–111.CrossRefGoogle Scholar
  22. Garfield, E. (1972), Citation analysis as a tool in journal evolution, Science, 178(60): 471–479.CrossRefGoogle Scholar
  23. Garfield, E. (1973), Historiographs, librarianship, and the history of science, In: Rawski, C. H. (Ed.), Toward a Theory of Librarianship: Papers in Honor of Jesse Hauk Shera. Metuchen, N.J.: Sacrecrow press, pp. 380–402. Reprinted in: Garfield, E. (1974–1976), Essays of an Information Scientist, Vol. 2, pp. 136–150.Google Scholar
  24. Garfield, E. (1977), Essays of an Information Scientist. Volume 1–15. ISI Press Philadelphia.Google Scholar
  25. Garfield, E., Pudovkin, A. I., Istornin, V. S. (2003), Why do we need algorithmic historiography? Journal of the American Society for Information Science and Technology, 54(5): 400–412.CrossRefGoogle Scholar
  26. Garfield, E. (2004), Historiographic mapping of knowledge domains literature, Journal of Information Science, 30(2): 119–145.CrossRefGoogle Scholar
  27. Gilbert, G. N. (1977), Competition, differentiation and careers in science, Social Science Information, 16(1): 103–123.CrossRefGoogle Scholar
  28. Girvan, M., Newman, M. E. J. (2002), Community structure in social and biological networks, Proceedings of the National Academy of Sciences, 99(12): 7821–7826.MATHCrossRefGoogle Scholar
  29. Glänzel, W., Thijs, B. (2004), Does co-authorship inflate the share of self-citations? Scientometrics, 61(3): 395–404.CrossRefGoogle Scholar
  30. Glänzel, W., Thijs, B., Schlemmer, B. (2004), A bibliometric approach to the role of author self-citations in scientific communication, Scientometrics, 59(1): 63–77.CrossRefGoogle Scholar
  31. Grimmett, G. (1999), Percolation. A Series of Comprehensive Studies in Mathematics, Vol. 321. Springer, Berlin et al.MATHGoogle Scholar
  32. Hargens, L. L. (1986), Migration patterns of U.S. Ph.D.s among disciplines and specialties, Scientometrics, 9(3–4): 145–164.CrossRefGoogle Scholar
  33. Hellsten, I., Lambiotte, R., Scharnhorst, A., Ausloos, M. (2006), A journey through the landscape of physics and beyond — the self-citation patterns of Werner Ebeling, In: Pöschel, T., Malchow, H., Schimansky Geier, L. (Eds), Irreversible Prozesse und Selbstorganisation, Berlin: Logos Verlag, pp. 375–384.Google Scholar
  34. Hopcroft, J., Khan, O., Kulis, B., Selman, B. (2004), Tracking evolving communities in large linked networks, Proceedings of the National Academy of Sciences, 101(suppl. 1): 5249–5253.CrossRefGoogle Scholar
  35. Houten, J., Van Vuren, H. G., Le Pair, C., Dijkhuis, G. (1983), Migration of physicists to other academic disciplines: situation in the Netherlands, Scientometrics, 5(4): 257–267.CrossRefGoogle Scholar
  36. Hutson, S. R. (2006), Self-citation in Archaeology: Age, gender, prestige, and the self, Journal of Archaeological Method and Theory, 13(1): 1–18.CrossRefGoogle Scholar
  37. Hyland, K. (2001), Humble servants of the discipline? Self-mention in research articles, English for Specific Purposes, 20: 207–226.CrossRefGoogle Scholar
  38. Hyland, K. (2003), Self-citation and self-reference: Credibility and promotion in academic publication, Journal of the American Society for Information Science and Technology, 54(3): 251–259.CrossRefGoogle Scholar
  39. Kuhn, T. (1962), The Structure of Scientific Revolutions. University of Chicago Press.Google Scholar
  40. Lambiotte, R., Ausloos, M. (2005), Uncovering collective listening habits and music genres in bipartite networks, Physical Review E, 72(6): 066107.Google Scholar
  41. Lambiotte, R., Ausloos, M. (2006), On the genre-fication of music: a percolation approach, The European Physical Journal B, 50(1–2): 183–189.CrossRefGoogle Scholar
  42. Le Pair, C. (1980), Switching between academic disciplines in universities in the Netherlands, Scientometrics, 2(3): 177–191.CrossRefGoogle Scholar
  43. Leydesdorff, L. (1989), Theories of citation? Scientometrics, 43(1): 5–25.CrossRefGoogle Scholar
  44. Leydesdorff, L., Amsterdamska, O. (1990), Dimensions of citation analysis, Science, Technology and Human Values, 15(3): 305–335.CrossRefGoogle Scholar
  45. Leydesdorff, L., Mapping interdisciplinarity at the interfaces between the Science Citation Index and the Social Science Citation Index, Scientometrics (forthcoming).Google Scholar
  46. Macroberts, M., Macroberts, B. (1988), Problems of citation analysis: A critical review, Journal of the American Society for Information Science, 40(5): 342–349.CrossRefGoogle Scholar
  47. Marshakova, I. V. (1988), Sistema Tsitirovaniya. Nauka, Moskva.Google Scholar
  48. Moed, H. F. (2005), Citation Analysis in Research Evaluation. Springer, Dordrecht.Google Scholar
  49. Morillo, F., Bordons, M., Gomez, I. (2003), Interdisciplinarity in science: a tentative typology of disciplines and research areas, Journal of the American Society for Information Science and Technology, 54(13): 1237–1249.CrossRefGoogle Scholar
  50. Newman, M. E. J. (2001), The structure of scientific collaboration networks, Proceedings of the National Academy of Sciences, 98(2): 404–409.MATHCrossRefGoogle Scholar
  51. Newman, M. E. J., Park, J. (2003), Why social networks are different from other types of networks, Physical Review E, 68: 036122.Google Scholar
  52. Noyons, E. C. M. (1999), Bibliometric Mapping as a Science Policy and Research Management Tool. DSWO Press, Leiden.Google Scholar
  53. Persson, O., Beckmann, M. (1995), Locating the network of interacting authors in scientific specialties, Scientometrics, 33(3): 351–366.CrossRefGoogle Scholar
  54. Pichappan, P. (1995), A dual refinement of journal self-citation measures, Scientometrics, 33(1): 13–21.CrossRefGoogle Scholar
  55. Pichappan, P., Sarasvady, S. (2002), The other side of the coin: The intricacies of author self-citations, Scientometrics, 54(2): 285–290.CrossRefGoogle Scholar
  56. Pierce, S. J. (1999), Boundary crossing in research literatures as a means of interdisciplinary information transfer, Journal of the American Society for Information Science, 50(2): 271–279.CrossRefGoogle Scholar
  57. Price, D. J. D. (1965), Networks of scientific papers, Science, 149(3683): 510–515.CrossRefGoogle Scholar
  58. Raan, A. F. J, Van (2006a), Performance-related differences of bibliometric statistical properties of research groups: cumulative advantages and hierarchically layered networks, Journal of the American Society for Information Science and Technology, 57(14): 1919–1935.CrossRefGoogle Scholar
  59. Raan, A. F. J, Van (2006b), Field-specific citation density and research group impact: Size-dependent cumulative advantage and performance-related statistical phenomena in bibliometric analysis. Keynote lecture at the 9th International Conference on Science and Technology Indicators, 07–09 September 2006, Leuven, Belgium. Book of Abstracts, p. 150.Google Scholar
  60. Redner, S. (2005), Citation Statistics from 110 Years of Physical Review, Physics Today, 58(6): 49.CrossRefGoogle Scholar
  61. Rinia, E. J., van Leeuwen, T. N., Bruins, E. E. W., van Vuren, H. G., van Raan, A. F. J. (2002), Measuring knowledge transfer between fields of science, Scientometrics, 54(3): 347–362.CrossRefGoogle Scholar
  62. Scharnhorst, A. (1996), Self-organization and science — a scientometric approach, In: Freund, J. A. (Ed.), Dynamik, Evolution, Strukturen. Verlag Dr. Köster, Berlin, pp.277–287.Google Scholar
  63. Scharnhorst, A. (2001), Constructing knowledge landscapes within the framework of geometrically oriented evolutionary theories, In: Matthies, M., Malchow, H., Kriz, J. (Eds), Integrative Systems Approaches to Natural and Social Dynamics, Springer, pp. 505–515.Google Scholar
  64. Schweitzer, F. (2003), Brownian Agents and Active Particles. Springer Berlin, Heidelberg, New York.MATHGoogle Scholar
  65. Small, H., Griffith, B. (1974), The structure of scientific literatures I: Identifying and graphing specialties, Science Studies, 4(1): 17–40.Google Scholar
  66. Small, H. (2003), Paradigms, citations and maps of science: A personal history, Journal of the American Society for Information Science and Technology, 54(5): 394–399.CrossRefGoogle Scholar
  67. Snyder, H., Bonzi, S. (1998), Patterns of self-citation across disciplines (1980–1989), Journal of Information Science, 24(6): 431–435.CrossRefGoogle Scholar
  68. Stauffer, D., Aharony, A. (1994), Introduction to Percolation Theory; 2nd Edition. Taylor & Francis, London.Google Scholar
  69. Urata, H. (1990), Information flows among academic disciplines in Japan, Scientometrics, 18(3–4): 309–319.CrossRefGoogle Scholar
  70. Urban, D. (1982), Mobility and the growth of science, Social Studies of Science, 12(3): 409–433.CrossRefGoogle Scholar
  71. Vlachy, J. (1981), Mobility in physics — a bibliography of occupational, geographic and field mobility of physicists, Czechoslovak Journal of Physics B, 31(6): 669–674.CrossRefGoogle Scholar
  72. Wagner-Doebler, R., Berg J. (1993), Mathematische Logik von 1847 bis zur Gegenwart. Walter de Gruyter: Berlin, New York.MATHGoogle Scholar
  73. White, H. (2001), Authors as citers over time, Journal of the American Society for Information Science and Technology, 52(2): 78–108.CrossRefGoogle Scholar
  74. Wouters, P. (1999), The Citation Culture. University of Amsterdam, Faculty of Science. Unpublished PhD Thesis.Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2007

Authors and Affiliations

  • Iina Hellsten
    • 1
  • Renaud Lambiotte
    • 2
  • Andrea Scharnhorst
    • 1
  • Marcel Ausloos
    • 2
  1. 1.The Virtual Knowledge Studio for the Humanities and Social Sciences at the Royal Netherlands Academy of Arts and SciencesVKS-KNAWAmsterdamThe Netherlands
  2. 2.SUPRATECSUniversité de LiègeLiègeBelgium

Personalised recommendations