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Application of entity linking to identify research fronts and trends

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  • Mauricio Marrone

    (Macquarie University)

Abstract

Studying research fronts enables researchers to understand how their academic fields emerged, how they are currently developing and their changes over time. While topic modelling tools help discover themes in documents, they employ a “bag-of-words” approach and require researchers to manually label categories, specify the number of topics a priori, and make assumptions about word distributions in documents. This paper proposes an alternative approach based on entity linking, which links word strings to entities from a knowledge base, to help solve issues associated with “bag-of-words” approaches by automatically identifying topics based on entity mentions. To study topic trends and popularity, we use four indicators—Mann–Kendall’s test, Sen’s slope analysis, z-score values and Kleinberg’s burst detection algorithm. The combination of these indicators helps us understand which topics are particularly active (“hot” topics), which are decreasing (“cold” topics or past “bursty” topics) and which are maturely developed. We apply the approach and indicators to the fields of Information Science and Accounting.

Suggested Citation

  • Mauricio Marrone, 2020. "Application of entity linking to identify research fronts and trends," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 357-379, January.
  • Handle: RePEc:spr:scient:v:122:y:2020:i:1:d:10.1007_s11192-019-03274-x
    DOI: 10.1007/s11192-019-03274-x
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    Cited by:

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    4. Guilherme Belloque & Martina K Linnenluecke & Mauricio Marrone & Abhay K Singh & Rui Xue, 2021. "55 years of Abacus: Evolution of Research Streams and Future Research Directions," Abacus, Accounting Foundation, University of Sydney, vol. 57(3), pages 593-618, September.
    5. Dejian Yu & Zhaoping Yan, 2022. "Combining machine learning and main path analysis to identify research front: from the perspective of science-technology linkage," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 4251-4274, July.
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    7. Martina K. Linnenluecke & Mauricio Marrone & Abhay K. Singh, 2020. "Sixty years of Accounting & Finance: a bibliometric analysis of major research themes and contributions," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(4), pages 3217-3251, December.
    8. Christian-Daniel Curiac & Ovidiu Banias & Mihai Micea, 2022. "Evaluating Research Trends from Journal Paper Metadata, Considering the Research Publication Latency," Mathematics, MDPI, vol. 10(2), pages 1-11, January.

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