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Enhanced author bibliographic coupling analysis using semantic and syntactic citation information

Author

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  • Ruhao Zhang

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Junpeng Yuan

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

Abstract

Author bibliographic coupling analysis (ABCA) is an extension of bibliographic coupling theory at the author level and is widely used in mapping intellectual structures and scholarly communities. However, the assumption of equal citations and the complete dependence on explicit counts may affect its effectiveness in today’s complex context of discipline development. This research proposes a new approach that uses multiple full-text data to improve ABCA called enhanced author bibliographic coupling analysis. By mining the semantic and syntactic information of citations, the new approach considers more diverse dimensions as the basis of author bibliographic coupling strength. Comparative empirical research was then conducted in the field of oncology. The results show that the new approach can more accurately reveal the relevant relations between authors and map a more detailed domain intellectual structure.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:scient:v:127:y:2022:i:12:d:10.1007_s11192-022-04333-6
    DOI: 10.1007/s11192-022-04333-6
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    References listed on IDEAS

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    1. Ding, Ying & Liu, Xiaozhong & Guo, Chun & Cronin, Blaise, 2013. "The distribution of references across texts: Some implications for citation analysis," Journal of Informetrics, Elsevier, vol. 7(3), pages 583-592.
    2. 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.
    3. Howard D. White, 2003. "Author cocitation analysis and Pearson's r," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(13), pages 1250-1259, November.
    4. Ma, Ruimin, 2012. "Author bibliographic coupling analysis: A test based on a Chinese academic database," Journal of Informetrics, Elsevier, vol. 6(4), pages 532-542.
    5. Yi Bu & Binglu Wang & Win-bin Huang & Shangkun Che & Yong Huang, 2018. "Using the appearance of citations in full text on author co-citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 275-289, July.
    6. Raja Habib & Muhammad Tanvir Afzal, 2019. "Sections-based bibliographic coupling for research paper recommendation," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 643-656, May.
    7. Shen, Si & Zhu, Danhao & Rousseau, Ronald & Su, Xinning & Wang, Dongbo, 2019. "A refined method for computing bibliographic coupling strengths," Journal of Informetrics, Elsevier, vol. 13(2), pages 605-615.
    8. Kim, Ha Jin & Jeong, Yoo Kyung & Song, Min, 2016. "Content- and proximity-based author co-citation analysis using citation sentences," Journal of Informetrics, Elsevier, vol. 10(4), pages 954-966.
    9. Boyack, Kevin W. & van Eck, Nees Jan & Colavizza, Giovanni & Waltman, Ludo, 2018. "Characterizing in-text citations in scientific articles: A large-scale analysis," Journal of Informetrics, Elsevier, vol. 12(1), pages 59-73.
    10. Hu, Zhigang & Chen, Chaomei & Liu, Zeyuan, 2013. "Where are citations located in the body of scientific articles? A study of the distributions of citation locations," Journal of Informetrics, Elsevier, vol. 7(4), pages 887-896.
    11. Per Ahlgren & Bo Jarneving & Ronald Rousseau, 2003. "Requirements for a cocitation similarity measure, with special reference to Pearson's correlation coefficient," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(6), pages 550-560, April.
    12. M. M. Kessler, 1963. "Bibliographic coupling between scientific papers," American Documentation, Wiley Blackwell, vol. 14(1), pages 10-25, January.
    13. Juyoung An & Namhee Kim & Min-Yen Kan & Muthu Kumar Chandrasekaran & Min Song, 2017. "Exploring characteristics of highly cited authors according to citation location and content," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(8), pages 1975-1988, August.
    14. Guo Zhang & Ying Ding & Staša Milojević, 2013. "Citation content analysis (CCA): A framework for syntactic and semantic analysis of citation content," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(7), pages 1490-1503, July.
    15. Narongrit Sombatsompop & Apisit Kositchaiyong & Teerasak Markpin & Sekson Inrit, 2006. "Scientific evaluations of citation quality of international research articles in the SCI database: Thailand case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 66(3), pages 521-535, March.
    16. Bart Thijs, 2020. "Using neural-network based paragraph embeddings for the calculation of within and between document similarities," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 835-849, November.
    17. Ying Ding & Guo Zhang & Tamy Chambers & Min Song & Xiaolong Wang & Chengxiang Zhai, 2014. "Content-based citation analysis: The next generation of citation analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(9), pages 1820-1833, September.
    18. Dangzhi Zhao & Andreas Strotmann, 2020. "Telescopic and panoramic views of library and information science research 2011–2018: a comparison of four weighting schemes for author co-citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 255-270, July.
    19. Kevin W. Boyack & Henry Small & Richard Klavans, 2013. "Improving the accuracy of co-citation clustering using full text," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(9), pages 1759-1767, September.
    20. Dangzhi Zhao & Andreas Strotmann, 2014. "The knowledge base and research front of information science 2006–2010: An author cocitation and bibliographic coupling analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(5), pages 995-1006, May.
    21. Xiaozhong Liu & Jinsong Zhang & Chun Guo, 2013. "Full‐text citation analysis: A new method to enhance scholarly networks," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(9), pages 1852-1863, September.
    22. Kevin W. Boyack & Henry Small & Richard Klavans, 2013. "Improving the accuracy of co‐citation clustering using full text," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(9), pages 1759-1767, September.
    23. Dangzhi Zhao & Andreas Strotmann, 2008. "Evolution of research activities and intellectual influences in information science 1996–2005: Introducing author bibliographic‐coupling analysis," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(13), pages 2070-2086, November.
    24. Chaker Jebari & Enrique Herrera-Viedma & Manuel Jesus Cobo, 2021. "The use of citation context to detect the evolution of research topics: a large-scale analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 2971-2989, April.
    25. Jeong, Yoo Kyung & Song, Min & Ding, Ying, 2014. "Content-based author co-citation analysis," Journal of Informetrics, Elsevier, vol. 8(1), pages 197-211.
    26. Shengbo Liu & Chaomei Chen, 2013. "The differences between latent topics in abstracts and citation contexts of citing papers," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(3), pages 627-639, March.
    27. Chao Lu & Ying Ding & Chengzhi Zhang, 2017. "Understanding the impact change of a highly cited article: a content-based citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(2), pages 927-945, August.
    28. Guo Zhang & Ying Ding & Staša Milojević, 2013. "Citation content analysis (CCA): A framework for syntactic and semantic analysis of citation content," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(7), pages 1490-1503, July.
    29. Shengbo Liu & Chaomei Chen, 2013. "The differences between latent topics in abstracts and citation contexts of citing papers," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(3), pages 627-639, March.
    30. Xiaozhong Liu & Jinsong Zhang & Chun Guo, 2013. "Full-text citation analysis: A new method to enhance scholarly networks," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(9), pages 1852-1863, September.
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