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Differentiating, describing, and visualizing scientific space: A novel approach to the analysis of published scientific abstracts

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  • Eli M. Blatt

    (Stanford University)

Abstract

This paper will develop and demonstrate a novel method for analyzing scientific indexes called Latent Semantic Differentiation. Using two distinct datasets comprised of scientific abstracts, it will demonstrate the procedure’s ability to identify the dominant themes, cluster the articles accordingly, visualize the results, and provide a qualitative description of each cluster. Combined, the analyses will highlight the utility of the procedure for scientific document indexing, structuring university departments, facilitating grant administration, and augmenting ongoing research on scientific citation. Because the procedure is extensible to any textual domain, there are numerous avenues for continued research both within the sciences and beyond.

Suggested Citation

  • Eli M. Blatt, 2009. "Differentiating, describing, and visualizing scientific space: A novel approach to the analysis of published scientific abstracts," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(2), pages 385-406, August.
    • Handle: RePEc:spr:scient:v:80:y:2009:i:2:d:10.1007_s11192-008-2070-3
    DOI: 10.1007/s11192-008-2070-3
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    References listed on IDEAS

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    1. Robert R. Braam & Henk F. Moed & Anthony F. J. van Raan, 1991. "Mapping of science by combined co‐citation and word analysis. I. Structural aspects," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 42(4), pages 233-251, May.
    2. Thed N. Van Leeuwen & Henk F. Moed & Robert J. W. Tijssen & Martijn S. Visser & Anthony F. J. Van Raan, 2001. "Language biases in the coverage of the Science Citation Index and its consequencesfor international comparisons of national research performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(1), pages 335-346, April.
    3. Peter Mika & Tom Elfring & Peter Groenewegen, 2006. "Application of semantic technology for social network analysis in the sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(1), pages 3-27, July.
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    Cited by:

    1. Gohar Feroz Khan & Junghoon Moon & Han Woo Park, 2011. "Network of the core: mapping and visualizing the core of scientific domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 759-779, December.
    2. Pablo Contreras Kallens & Rick Dale, 2018. "Exploratory mapping of theoretical landscapes through word use in abstracts," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1641-1674, September.
    3. Hautala, Johanna & Jauhiainen, Jussi S., 2014. "Spatio-temporal processes of knowledge creation," Research Policy, Elsevier, vol. 43(4), pages 655-668.
    4. Naser Rashidi & Hussein Meihami, 2018. "Informetrics of Scientometrics abstracts: a rhetorical move analysis of the research abstracts published in Scientometrics journal," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1975-1994, September.

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