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The contribution of the lexical component in hybrid clustering, the case of four decades of “Scientometrics”

Author

Listed:
  • Bart Thijs

    () (KU Leuven)

  • Wolfgang Glänzel

    () (KU Leuven
    Library of the Hungarian Academy of Sciences)

Abstract

Abstract The introduction of textual analysis and the use of lexical similarities already proved an important asset in science mapping. Earlier research showed the added value of hybrid document networks over link-based ones through the reduction of the extreme sparseness. However, it was only after the application of Natural Language Processing and phrase extraction that networks purely based on lexical similarities could be used as input for topic detection in quantitative science studies. This study investigates the contribution of the lexical component in hybrid cluster on a set of articles published in the journal Scientometrics since its foundation during four decades. Shifting the weight of the lexical components generates changes in the structure of the underlying hybrid network, which can be detected through clustering techniques. We show that these changes are not moving documents randomly, but in fact identify small groups of papers either at the borderline between different topics or combining those. In addition, the analysis substantiates that the lexical component adopts the structure of the network rather than amplifies hidden structures of the link-based network.

Suggested Citation

  • Bart Thijs & Wolfgang Glänzel, 2018. "The contribution of the lexical component in hybrid clustering, the case of four decades of “Scientometrics”," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 21-33, April.
  • Handle: RePEc:spr:scient:v:115:y:2018:i:1:d:10.1007_s11192-018-2659-0
    DOI: 10.1007/s11192-018-2659-0
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    1. repec:spr:scient:v:111:y:2017:i:2:d:10.1007_s11192-017-2301-6 is not listed on IDEAS
    2. Kevin W. Boyack & Richard Klavans, 2010. "Co-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(12), pages 2389-2404, December.
    3. repec:spr:scient:v:75:y:2008:i:3:d:10.1007_s11192-007-2002-7 is not listed on IDEAS
    4. repec:spr:scient:v:88:y:2011:i:1:d:10.1007_s11192-011-0347-4 is not listed on IDEAS
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