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Dynamics of senses of new physics discourse: Co-keywords analysis

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  • Katchanov, Yurij L.
  • Markova, Yulia V.

Abstract

The paper presents a longitudinal analysis of the evolution of new physics keywords co-occurrence patterns. For that, we explore the documents indexed in the INSPIRE database from 1989 to 2018. Our purpose is to quantify the knowledge structure of the fast-growing subfield of new physics. The development of a novel approach to keywords co-occurrence analysis is the main point of the paper. In contrast to traditional co-keyword network analysis, we investigate structures that unite physics concepts in different documents and bind different documents with the same physics concepts. We consider the structures that reveal relationships among concepts as topological and call them “physics senses”. Based on the notion of trajectory mutual information, the paper offers clustering of physics senses, determines their period of life, and constructs a classification of senses’ “authority”.

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  • Katchanov, Yurij L. & Markova, Yulia V., 2022. "Dynamics of senses of new physics discourse: Co-keywords analysis," Journal of Informetrics, Elsevier, vol. 16(1).
    • Handle: RePEc:eee:infome:v:16:y:2022:i:1:s1751157721001164
    DOI: 10.1016/j.joi.2021.101245
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    Cited by:

    1. Katchanov, Yurij L. & Markova, Yulia V. & Shmatko, Natalia A., 2023. "Uncited papers in the structure of scientific communication," Journal of Informetrics, Elsevier, vol. 17(2).
    2. Marian Oliński & Krzysztof Krukowski & Kacper Sieciński, 2024. "Bibliometric Overview of ChatGPT: New Perspectives in Social Sciences," Publications, MDPI, vol. 12(1), pages 1-16, March.

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