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The Closer the Better: Similarity of Publication Pairs at Different Cocitation Levels

Author

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  • Giovanni Colavizza
  • Kevin W. Boyack
  • Nees Jan van Eck
  • Ludo Waltman

Abstract

We investigated the similarities of pairs of articles that are cocited at the different cocitation levels of the journal, article, section, paragraph, sentence, and bracket. Our results indicate that textual similarity, intellectual overlap (shared references), author overlap (shared authors), proximity in publication time all rise monotonically as the cocitation level gets lower (from journal to bracket). While the main gain in similarity happens when moving from journal to article cocitation, all level changes entail an increase in similarity, especially section to paragraph and paragraph to sentence/bracket levels. We compared the results from four journals over the years 2010–2015: Cell, the European Journal of Operational Research, Physics Letters B, and Research Policy, with consistent general outcomes and some interesting differences. Our findings motivate the use of granular cocitation information as defined by meaningful units of text, with implications for, among others, the elaboration of maps of science and the retrieval of scholarly literature.

Suggested Citation

  • Giovanni Colavizza & Kevin W. Boyack & Nees Jan van Eck & Ludo Waltman, 2018. "The Closer the Better: Similarity of Publication Pairs at Different Cocitation Levels," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 69(4), pages 600-609, April.
    • Handle: RePEc:bla:jinfst:v:69:y:2018:i:4:p:600-609
    DOI: 10.1002/asi.23981
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    Cited by:

    1. Müge Akbulut & Yaşar Tonta & Howard D. White, 2020. "Related records retrieval and pennant retrieval: an exploratory case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 957-987, February.
    2. Kamal Sanguri & Atanu Bhuyan & Sabyasachi Patra, 2020. "A semantic similarity adjusted document co-citation analysis: a case of tourism supply chain," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 233-269, October.
    3. Giovanni Colavizza, 2018. "A diachronic study of historiography," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 2117-2131, December.
    4. Robertson, Jeandri & Pitt, Leyland & Ferreira, Caitlin, 2020. "Entrepreneurial ecosystems and the public sector: A bibliographic analysis," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    5. Ruhao Zhang & Junpeng Yuan, 2022. "Enhanced author bibliographic coupling analysis using semantic and syntactic citation information," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7681-7706, December.
    6. Colavizza, Giovanni & Franssen, Thomas & van Leeuwen, Thed, 2019. "An empirical investigation of the tribes and their territories: Are research specialisms rural and urban?," Journal of Informetrics, Elsevier, vol. 13(1), pages 105-117.
    7. Yun, Jinhyuk & Ahn, Sejung & Lee, June Young, 2020. "Return to basics: Clustering of scientific literature using structural information," Journal of Informetrics, Elsevier, vol. 14(4).
    8. Letycja Sołoducho-Pelc & Adam Sulich, 2022. "Natural Environment Protection Strategies and Green Management Style: Literature Review," Sustainability, MDPI, vol. 14(17), pages 1-25, August.

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