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Network Of Scientific Concepts: Empirical Analysis And Modeling

Author

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  • VASYL PALCHYKOV

    (𠕃4 Collaboration and Doctoral College for the Statistical Physics of Complex Systems, Leipzig-Lorraine-Lviv-Coventry, Europe)

  • MARIANA KRASNYTSKA

    (Institute for Condensed Matter Physics, National Academy of Sciences of Ukraine, UA-79011 Lviv, Ukraine1𠕃4 Collaboration and Doctoral College for the Statistical Physics of Complex Systems, Leipzig-Lorraine-Lviv-Coventry, Europe)

  • OLESYA MRYGLOD

    (Institute for Condensed Matter Physics, National Academy of Sciences of Ukraine, UA-79011 Lviv, Ukraine1𠕃4 Collaboration and Doctoral College for the Statistical Physics of Complex Systems, Leipzig-Lorraine-Lviv-Coventry, Europe)

  • YURIJ HOLOVATCH

    (Institute for Condensed Matter Physics, National Academy of Sciences of Ukraine, UA-79011 Lviv, Ukraine1𠕃4 Collaboration and Doctoral College for the Statistical Physics of Complex Systems, Leipzig-Lorraine-Lviv-Coventry, Europe3Centre for Fluid and Complex Systems, Coventry University, Coventry CV1 5FB, UK)

Abstract

Concepts in a certain domain of science are linked via intrinsic connections reflecting the structure of knowledge. To get a qualitative insight and a quantitative description of this structure, we perform empirical analysis and modeling of the network of scientific concepts in the domain of physics. To this end, we use a collection of manuscripts submitted to the e-print repository arXiv and the vocabulary of scientific concepts collected via the ScienceWISE.info platform and construct a network of scientific concepts based on their co-occurrences in publications. The resulting complex network possesses a number of specific features (high node density, dissortativity, structural correlations, skewed node degree distribution) that cannot be understood as a result of simple growth by several commonly used network models. We show that the model based on a simultaneous account of two factors, growth by blocks and preferential selection, gives an explanation of empirically observed properties of the concepts network.

Suggested Citation

  • Vasyl Palchykov & Mariana Krasnytska & Olesya Mryglod & Yurij Holovatch, 2021. "Network Of Scientific Concepts: Empirical Analysis And Modeling," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 24(03n04), pages 1-23, June.
    • Handle: RePEc:wsi:acsxxx:v:24:y:2021:i:03n04:n:s0219525921400014
    DOI: 10.1142/S0219525921400014
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    Cited by:

    1. Katchanov, Yurij L. & Markova, Yulia V., 2022. "Dynamics of senses of new physics discourse: Co-keywords analysis," Journal of Informetrics, Elsevier, vol. 16(1).

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