A comparative study of first and all-author bibliographic coupling analysis based on Scientometrics
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A comparative study of first and all‑author bibliographic coupling analysis based on Scientometrics Song Yanhui1 · Wu Lijuan1 · Qiu Junping1 Received: 1 April 2020 © Akadémiai Kiadó, Budapest, Hungary 2020
Abstract This paper takes 2,876 papers published in Scientometrics as the sample, and the time span of these papers is nearly ten years. We have studied the intellectual structure and development trend of Scientometrics in two periods within five years, and made an empirical exploration and comparison of two methods of author bibliographic coupling methods—first author bibliographic coupling (FABCA) and all authors bibliographic coupling (AABCA). The results show that the intellectual structure of Scientometrics in the two periods are relatively stable, but the intellectual structure of the latter period is clearer, and the correlation and integration of the research topics is stronger than that of the previous period. There is a strong correlation between AABCA and FABCA, but each has its own characteristics, and there are subtle differences between them. The similarity between them can be found by authors rank correlation analysis, the cosine similarity analysis, and discipline research topic detection. However, the factor models fitting analysis, research topics detection and evolution show that there are differences between them. AABCA is sensitive to the discovery of research hotspots, and can detect more research topics than FABCA. While FABCA has advantages over AABCA in reflecting the frontier and innovation of the discipline. It can provide more information. Therefore, FABCA and AABCA have their own characteristics and cannot be replaced. The combination of the two methods is a powerful and effective research method to explore the intellectual structure and evolution trend of the discipline. Keywords First author bibliographic coupling analysis · All authors bibliographic coupling analysis · Scientometrics
Introduction Author bibliographic coupling analysis (ABCA) is a research method extended by Zhao and Strotmann (2008a) from the bibliographic coupling (BC), which is an effective supplement to the author co-citation analysis (ACA). The concept of BC is first proposed by Kessler (1963) and is defined as two documents sharing one or more same items in their * Song Yanhui [email protected] 1
School of Management, Hangzhou Dianzi University, Hangzhou 310018, China
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Scientometrics
reference lists. Based on the assumption of BC, the ABCA refers to the phenomenon that two authors cite the same references from articles written by these two authors. The more references the two authors have in common in their oeuvre, the more similar that their research interests will be (Ma 2012). The ABCA has been widely concerned and applied for recent years due to its advantages of providing distinctive and crucial information on the intellectual structure and evolution of a discipline (Zhao and Strotmann 2014). By comparing the co-citation analysis between the first author and all authors, the
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