Skip to main content
SpringerLink
Log in

Modeling the Dynamics of Research Fronts

  • General Section
  • Published:
Automatic Documentation and Mathematical Linguistics Aims and scope

Abstract

An approach to modeling the dynamics of the state of research fronts on the basis of webometric indicators is considered. As a result of the analysis of publication activity, trends in the development of string theory, superstring theory, and M-theory have been revealed. It is shown that the nature of interdisciplinary dependencies for these fields may imply a gradual suppression of well-established theories by newer ones.

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. Kuhn, T.S., The Structure of Scientific Revolutions, University of Chicago Press, 1962.

    Google Scholar 

  2. Weinberg, S., Dreams of a Final Theory: The Search for the Fundamental Laws of Nature, Random House, 2010.

    Google Scholar 

  3. Lem, S., Summa Technologiae, Wydawnictwo Literackie, 1964.

    Google Scholar 

  4. Ginzburg, V.L., O On pseudoscience and the need to fight it, Nauka Zhizn’, 2000, vol. 11, pp. 74–78.

    Google Scholar 

  5. Selye, H., From Dream to Discovery: On Being a Scientist, New York: Arno Press, 1964.

    Google Scholar 

  6. Horgan, J., The End of Science: Facing the Limits of Knowledge in the Twilight of the Scientific Age, Broadway Books, 1997.

    MATH  Google Scholar 

  7. Turchin, V.F., Fenomen nauki: Kiberneticheskii podkhod k evolyutsii (The Phenomenon of Science: Cybernetic Approach to Evolution), Moscow: ETS, 2000, 2nd ed.

    Google Scholar 

  8. Borichevskii, I.A., Science as an exact science, Sotsiol. Nauki Tekhnol., 2013, vol. 4, no. 3, pp. 11–17.

    Google Scholar 

  9. Greene, B., The Elegant Universe: Superstrings, Hidden Dimensions, and the Quest for the Ultimate Theory, W.W. Norton, 2003.

    MATH  Google Scholar 

  10. Kaku, M., Introduction to Superstrings, Springer Science & Business Media, 2012.

    MATH  Google Scholar 

  11. Green, M.B., Schwarz, J.H., and Witten, E., Superstring Theory, vol. 1: Introduction, Cambridge University Press, 1988.

  12. Blaginin, V.A., Karkh, D.A., and Sulimin, V.V., On the need to use research fronts in scientific activities, Nauka Biznes: Puti Razyit., 2016, no. 12, pp. 135–137.

    Google Scholar 

  13. Kas’yanov, P.E., Scientometrics in crisis management of scientific research, Seminar “Formation of Research Topics in the Light of World Trends and the Needs of the Country and Region,” 2016. https://doi.org/hdl.handle.net/10995/43145.

    Google Scholar 

  14. Starodubov, V.I., Kurakova, N.G., Tsvetkova, L.A., Aref’ev, P.G., and Eremchenko, O.A., Compliance of the subject structure of science of Russia with the priorities of its financing, Nauchno-Tekh. Inf., Ser. 1, 2013, no. 8, pp. 8–16.

    Google Scholar 

  15. Prais, D., System of scientific publications, Usp. Fiz. Nauk, 1966, vol. 90, no. 10, pp. 349–359.

    Article  Google Scholar 

  16. Nalimov, V.V. and Mul’chenko, Z.M., Naukometriya. Izuchenie razvitiya nauki kak informatsionnogo protsessa (Scientometrics. Study of the Development of Science as an Information Process), Moscow: Nauka, 1969.

    Google Scholar 

  17. Aseev, G.G., The ratio of various metric studies in the science of science, Sist. Obrob. Inf., 2017, no. 1, pp. 119–126.

  18. Pechnikov, A.A., About measurements of webometric indicators, Mezhdunar. Zh. Eksp. Obraz., 2013, no. 10–2, pp. 400–404.

    Google Scholar 

  19. Gilyarevskii, R.S., On the scientific literature that reports quantitative data collected during experimental research, Sci. Tech. Inf. Process., 2017, vol. 44, no. 4, pp. 247–252.

    Article  Google Scholar 

  20. Boyack, K.W. and Klavans, R., Co-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately?, J. Am. Soc. Inf. Sci. Technol., 2010, vol. 61, no. 12, pp. 2389–2404.

    Article  Google Scholar 

  21. Kahneman, D., Thinking, Fast and Slow, Farrar, Straus and Giroux, 2011.

    Google Scholar 

  22. Kondrat’ev, N.D., Osnovnye problemy ekonomicheskoi statiki i dinamiki (Main Problems of Economic Statics and Dynamics), Moscow: Nauka, 1991.

    Google Scholar 

  23. Kalachikhin, P.A., Scientometric instruments of research funding, Sci. Tech. Inf. Process., 2018, vol. 45, no. 1, pp. 28–34.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. All-Russian Institute for Scientific and Technical Information, Russian Academy of Sciences, Moscow, 125190, Russia

    P. A. Kalachikhin

Authors
  1. P. A. Kalachikhin
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to P. A. Kalachikhin.

Additional information

Russian Text © P.A. Kalachikhin, 2019, published in Nauchno-Tekhnicheskaya Informatsiya, Seriya 2: Informatsionnye Protsessy i Sistemy, 2019, No. 1, pp. 1–8.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kalachikhin, P.A. Modeling the Dynamics of Research Fronts. Autom. Doc. Math. Linguist. 53, 1–8 (2019). https://doi.org/10.3103/S0005105519010035

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.3103/S0005105519010035

Keywords

Search

Navigation