Domain Analysis on Economics by Utilizing Cocitation Analysis of Multiple Authorship (복수저자기반 동시인용분석을 활용한 지적구조 분석: 경제학 분야를 중심으로)

Sun-Young Kwak (곽선영); Eunkyung Chung (정은경)

doi:10.3743/KOSIM.2012.29.1.115

Domain Analysis on Economics by Utilizing Cocitation Analysis of Multiple Authorship

Journal of the Korean Society for Information Management
Abbr : JKOSIM
2012, 29(1), pp.115~134
DOI : 10.3743/KOSIM.2012.29.1.115
Publisher : 한국정보관리학회
Research Area : Interdisciplinary Studies > Library and Information Science
Received : February 18, 2012
Accepted : March 16, 2012
Published : March 30, 2012

Sun-Young Kwak ¹, Eunkyung Chung ¹

¹이화여자대학교

Accredited

ABSTRACT

The author co-citation analysis is generally based on the frequency of the first author because most citation databases include only the first author in the bibliographic information. In this sense, the purpose of this study is to provide a better knowledge structure by utilizing the multiple authorship of author co-citation analysis. To achieve the purpose of this study, four different data sets are prepared: (1) counting the first author, (2) counting all the author without limiting the total frequency, (3) counting all the author with limiting the total frequency, and (4) counting adjusted frequencies based on the order of author subscription. The findings of this study show that there are clear differences between the knowledge structure counting all the author and the one counting only the first author. In addition, depending on the different methods, there are subtle changes of cluster members for authors.

KEYWORDS

author co-citation analysis, multiple authorship, economics, domain analysis

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* References for papers published after 2023 are currently being built.

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Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

Domain Analysis on Economics by Utilizing Cocitation Analysis of Multiple Authorship

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

Domain Analysis on Economics by Utilizing Cocitation Analysis of Multiple Authorship

ABSTRACT

KEYWORDS

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