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

Autor/inn/en	Bu, Yi; Liu, Tian-yi; Huang, Win-bin
Titel	MACA: a modified author co-citation analysis method combined with general descriptive metadata of citations.
Quelle	In: Scientometrics, (2016) 1, S.143-166 PDF als Volltext Verfügbarkeit
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0138-9130
DOI	10.1007/s11192-016-1959-5
Schlagwörter	Author co-citation analysis; Co-citation analysis; Citation analysis; Bibliometrics
Abstract	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.
Erfasst von	OLC
Update	2023/2/05