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MACA: a modified author co-citation analysis method combined with general descriptive metadata of citations

Author

Listed:
  • Yi Bu

    (Peking University)

  • Tian-yi Liu

    (Peking University)

  • Win-bin Huang

    (Peking University)

Abstract

Author co-citation analysis (ACA) is a well-known and frequently-used method to exhibit the academic researchers and the professional field sketch according to co-citation relationships between authors in an article set. However, visualizing subtle examination is limited because only author co-citation information is required in ACA. The proposed method, called modified author co-citation analysis (MACA), exploits author co-citation relationship, citations published time, citations published carriers, and citations keywords, to construct MACA-based co-citation matrices. According to the results of our experiments: (1) MACA shows a good clustering result with more delicacy and more clearness; (2) more information involved in co-citation analysis performs good visual acuity; (3) in visualization of co-citation network produced by MACA, the points in different categories have far more distance, and the points indicating authors in the same category are closer together. As a result, the proposed MACA is found that more detailed and subtle information of a knowledge domain analyzed can be obtained, compared to ACA.

Suggested Citation

  • Yi Bu & Tian-yi Liu & Win-bin Huang, 2016. "MACA: a modified author co-citation analysis method combined with general descriptive metadata of citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 143-166, July.
    • Handle: RePEc:spr:scient:v:108:y:2016:i:1:d:10.1007_s11192-016-1959-5
    DOI: 10.1007/s11192-016-1959-5
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    Citations

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    Cited by:

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    5. Yi Xue & Zhonggen Yu, 2023. "Bibliometric Analysis of Ambiguity Tolerance: Unearthing Its Role in Sustainable Language Education," Sustainability, MDPI, vol. 15(15), pages 1-21, August.
    6. Bu, Yi & Ni, Shaokang & Huang, Win-bin, 2017. "Combining multiple scholarly relationships with author cocitation analysis: A preliminary exploration on improving knowledge domain mappings," Journal of Informetrics, Elsevier, vol. 11(3), pages 810-822.
    7. Zaida Chinchilla-Rodríguez & Yi Bu & Nicolás Robinson-García & Cassidy R. Sugimoto, 2021. "An empirical review of the different variants of the probabilistic affinity index as applied to scientific collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1775-1795, February.
    8. Wang, Feifei & Jia, Chenran & Wang, Xiaohan & Liu, Junwan & Xu, Shuo & Liu, Yang & Yang, Chenyuyan, 2019. "Exploring all-author tripartite citation networks: A case study of gene editing," Journal of Informetrics, Elsevier, vol. 13(3), pages 856-873.

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    More about this item

    Keywords

    Author co-citation analysis; Co-citation analysis; Citation analysis; Bibliometrics;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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