The European Physical Journal Special Topics

, Volume 222, Issue 6, pp 1441–1465 | Cite as

Large-scale temporal analysis of computer and information science

Regular Article Applications in Different Domains

Abstract

The main aim of the project reported in this paper was twofold. One of the primary goals was to produce an extensive source of network data for bibliometric analyses of field dynamics in the case of Computer and Information Science. To this end, we rendered the raw material of the DBLP computer and infoscience bibliography into a comprehensive collection of dynamic network data, promptly available for further statistical analysis. The other goal was to demonstrate the value of our data source via its use in mapping Computer and Information Science (CIS). An analysis of the evolution of CIS was performed in terms of collaboration (co-authorship) network dynamics. Dynamic network analysis covered three quarters of the XX. century (76 years, from 1936 to date). Network evolution was described both at the macro- and the mezo level (in terms of community characteristics). Results show that the development of CIS followed what appears to be a universal pattern of growing into a “mature” discipline.

Keywords

European Physical Journal Special Topic Network Size Giant Component Bibliographic Coupling Science Mapping 

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References

  1. 1.
    B. Aleman-Meza, M. Nagarajan, C. Ramakrishnan, L. Ding, P. Kolari, A.P. Sheth, I.B. Arpinar, A. Joshi, T. Finin, ACM, 407 (2006)Google Scholar
  2. 2.
    A.L. Barabasi, H. Jeong, Z. Neda, E. Ravasz, A. Schubert, T. Vicsek, Physica A: Stat. Mech. Appl. 311, 590 (2002)MathSciNetADSCrossRefMATHGoogle Scholar
  3. 3.
    L. Bettencourt, D.I. Kaiser, J. Kaur, J. Informetrics 3, 210 (2009)CrossRefGoogle Scholar
  4. 4.
    M. Biryukov, Comput. Optimiz. Inf. Syst. Manag. Sci., 399 (2008)Google Scholar
  5. 5.
    K. Borner, Atlas of science (MIT Press, 2010)Google Scholar
  6. 6.
    K.W. Boyack, Scientometrics 79, 27 (2009)CrossRefGoogle Scholar
  7. 7.
    K.W. Boyack, R. Klavans, K. Borner, Scientometrics 64, 351 (2005)CrossRefGoogle Scholar
  8. 8.
    C. Chen, Mapping scientific frontiers: The quest for knowledge visualization (Springer Verlag, 2003)Google Scholar
  9. 9.
    G. Csardi, T. Nepusz, Int. J. Complex Syst., 1695 (2006)Google Scholar
  10. 10.
    E. Elmacioglu, D. Lee, ACM SIGMOD Record 34, 33 (2005)CrossRefGoogle Scholar
  11. 11.
    M. Franceschet, J. Amer. Soc. Inf. Sci. Technol. 62, 1992 (2011)CrossRefGoogle Scholar
  12. 12.
    E. Garfield, A. Pudovkin, V. Istomin, Proc. Amer. Soc. Information Sci. Technol. 39, 14 (2002)CrossRefGoogle Scholar
  13. 13.
    S. Goyal, M.J. Van Der Leij, J.L. Moraga-González, J. Political Economy 114, 403 (2006)CrossRefGoogle Scholar
  14. 14.
    J. Guan, N. Ma, Scientometrics 61, 339 (2004)CrossRefGoogle Scholar
  15. 15.
    Z. Huang, Y. Yan, Y. Qiu, S. Qiao, IEEE, 219 (2009)Google Scholar
  16. 16.
    F. Janssens, W. Glänzel, B. De Moor, Scientometrics 75, 607 (2008)CrossRefGoogle Scholar
  17. 17.
    R. Klavans, K.W. Boyack, Proc. ISSI 1, 437 (2007)Google Scholar
  18. 18.
    W. Koehler, Scientometrics 51, 117 (2001)CrossRefGoogle Scholar
  19. 19.
    J.M. Levitt, M. Thelwall, Scientometrics 78, 45 (2009)CrossRefGoogle Scholar
  20. 20.
    L. Leydesdorff, J. Amer. Soc. Inf. Sci. 48, 418 (1997)CrossRefGoogle Scholar
  21. 21.
    L. Leydesdorff, I. Rafols, J. Amer. Soc. Inf. Sci. Technol. 60, 348 (2009)CrossRefGoogle Scholar
  22. 22.
    F. Moya-Anegon, E.J. Contreras, M.D.L.M. Corrochano, Scientometrics 42, 229 (1998)CrossRefGoogle Scholar
  23. 23.
    F. Moya-Anegon, B. Vargas-Quesada, V. Herrero-Solana, Z. Chinchilla-Rodriguez, E. Corera-Alvarez, F.J. Munoz-Fernandez, Scientometrics 61, 129 (2004)CrossRefGoogle Scholar
  24. 24.
    F. Muhlenbach, S. Lallich, IEEE 1, 500 (2010)Google Scholar
  25. 25.
    T. Opsahl, Ph.D. thesis, University of London, London, UK, 2009Google Scholar
  26. 26.
    E. Yan, Y. Ding, Q. Zhu, Scientometrics 83, 115 (2010)CrossRefGoogle Scholar

Copyright information

© EDP Sciences and Springer 2013

Authors and Affiliations

  1. 1.Dept. Science Policy and ScientometricsLibrary of the Hungarian Academy of Sciences (MTA)BudapestHungary
  2. 2.Eötvös Loránd UniversityBudapestHungary
  3. 3.PetaByte Research Ltd.BudapestHungary
  4. 4.DFKI (German Research Institute for Artificial Intelligence)KaiserslauternGermany

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