• Title/Summary/Keyword: Author Analysis

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A Study on Intellectual Structure Using Author Co-citation Analysis and Author Bibliographic Coupling Analysis in the Field of Social Welfare Science (저자동시인용분석과 저자서지결합분석에 의한 지적 구조 분석: 사회복지학 분야를 중심으로)

  • Kim, Hee-Jeon;Cho, Hyun-Yang
    • Journal of the Korean Society for information Management
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    • v.27 no.3
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    • pp.283-306
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    • 2010
  • This study intended to make new suggestions by clarifying usefulness of analysis methodology for the intellectual structure of disciplines, which combines author co-citation analysis and author bibliographic coupling analysis. It also aimed to identify the recent research trend and key researchers recently doing research activities actively as well as the intellectual structure in the field of social welfare. It was found to be more efficient to conduct both author co-citation analysis and author bibliographic coupling analysis in order to identify traditional sub-areas of disciplinary subject or the research trend of actual researchers in examining the intellectual structure of a specific discipline.

Comparative and analysis of multimedia author tools (멀티미디어 저작도구의 비교.분석)

  • Kwon Oh-Tack;Hong Dong-Heon
    • Management & Information Systems Review
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    • v.2
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    • pp.23-46
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    • 1998
  • In this paper, comparative and analysis of multimedia author tools for to proper compatible multimedia author tools on multimedia author tools function and usage, and which breach of contract each author tools specific property prepare to forecast future multimedia expansion trend on information technology expansion. Multimedia essential element is hardware(storage, digital video, CD), software, sound, hypertext and hypermedia etc. Analysis criteria of multimedia author tools is programming environment, which are card, script, icon, time method.

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

  • Kwak, Sun-Young;Chung, Eun-Kyung
    • Journal of the Korean Society for information Management
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    • v.29 no.1
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    • pp.115-134
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    • 2012
  • 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.

A Study on the Application to Network analysis on Importance of Author keyword based on Sequence of keyword (네트워크 분석을 통한 저자키워드 출현순서에 대한 의미 분석)

  • Kwon, Sun-young
    • Journal of the Korea Convergence Society
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    • v.9 no.9
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    • pp.9-14
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    • 2018
  • This study aims to investigate an importance of Author keyword with analysis the position of author keyword. An analysis was carried out on the position of author keyword. we examined an importance of Author keyword by using degree centrality, closeness centrality, betweenness centrality, eigenvector centrality. In the next stage, we performed analysis on correlation between network centrality measures and the position of keyword. As a result, degree centrality, closeness centrality, betweenness centrality, eigenvector centrality both has a high value in 4th author keyword order. eigenvector centrality was the comparatively effective method to separate of author keyword order method than other 3 centrality. Correlation analysis result shows that the network analysis value are increasing in order. This study has significance in that it was able to examine the author keyword behavior. Future research is needed to identify and supplement future situational factors, behavior, and psychology.

A Study on the Application to Network Analysis on the Importance of Author Keyword based on the Position of Keyword (학술논문의 저자키워드 출현순서에 따른 저자키워드 중요도 측정을 위한 네트워크 분석방법의 적용에 관한 연구)

  • Kwon, Sun-Young
    • Journal of the Korean Society for information Management
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    • v.31 no.2
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    • pp.121-142
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    • 2014
  • This study aims to investigate the importance of author keyword with analysis the position of author keyword in journal. In the first stage, an analysis was carried out on the position of author keyword. We examined the importance of author keyword by using degree centrality, closeness centrality, betweenness centrality, eigenvector centrality and effective size of structural hole. In the next stage, We performed analysis on correlation between network centrality measures and the position of author keyword. The result of correlation analysis on network centrality measures and the position of author keyword shows that there are the more significant areas of the result of the correlation analysis on degree centrality, betweenness centrality and the position of keyword. In addition, These results show that we need to consider that the possible way as measuring the importance of author keyword in journal is not only a term frequency but also degree centrality and betweenness centrality.

Bibliographic Author Coupling Analysis: A New Methodological Approach for Identifying Research Trends (서지적 저자결합분석 - 연구동향 분석을 위한 새로운 접근 -)

  • Lee, Jae-Yun
    • Journal of the Korean Society for information Management
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    • v.25 no.1
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    • pp.173-190
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    • 2008
  • Author co-citation analysis(ACA) technique has been widely used for identifying research areas and trends in a discipline. But this technique has some limitations, mainly due to citation delay, on analyzing current trends and identifying active researchers. In this study, a new method, named as Bibliographic Author Coupling Analysis (BACA), is suggested for overcoming those limitations of author co-citation analysis. BACA is based on Kessler's bibliographic coupling approach and focuses not on documents but on authors. Simply stated, BACA technique assumes that those likewise citing authors have the same research interests. For the purpose of comparing with author co-citation analysis, two preceding studies with author co-citation analysis are reconsidered and re-examined using BACA. The comparing results can be regarded as promising the usefulness of BACA in analyzing current research trends and identifying active researchers.

Analysis of Author Image Based on Book Recommendation from Readers (독자 추천도서 정보를 이용한 작가 이미지 분석 연구)

  • Choi, Sanghee
    • Journal of the Korean Society for information Management
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    • v.34 no.4
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    • pp.153-171
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    • 2017
  • Many readers tend to read books of a specific author and to expand their reading areas according to the author. This study chose Edgar Allan Poe and analyzed the image of the author using co-recommended authors and books by other readers. The frequencies of co-occurred authors and books were investigated and the relations of authors and books were analyzed with network analysis methods. As a result, genre images of Poe, related authors, and related books are discovered. This study also suggested the methods to identify the image of a author, related author groups, and related books for libraries' reading programs and book curation.

Analysis of Intellectual Structure of Subject Specialty through Author Co-citation (전문영역의 주제구조분석 - 저자공인용에 근거하여 -)

  • Cho Myeung-Hee
    • Journal of the Korean Society for Library and Information Science
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    • v.22
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    • pp.331-360
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    • 1992
  • This research presents author co-citation analysis of the subject area in the humanities - Korean history. Three approaches to multivariate analyses were used to display the inter-author relationships in the similarity matrix. Data on co-citation of sixty seven authors for the period of 1980­1989 were extracted from the database constructed by author. The author's name, here refers to a body of writings by a person, is the unit of analysis. The data were subjected to non-metric multidimensional scaling program create two-dimensional map of authors. Authors with similarity are clustered using hierarchical agglomerative procedure and it is found that five clusters in Korean history represent primarily research specializations. Author map of Korean history reveals the first dimension corresponding to subject orientation of authors and the second dimension corresponds to research method or research style. In factor analysis, each factor reflects research specialty made up of authors, and factor locadings demonstrate the breadth or concentration of sixty seven authors' scholarly contributions on Korean history. It is demonstrated that the· specific methodology employed by this research, author co-citation analysis, is useful to represent the intellectual structure of Korean history.

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Author co-citation mapping and changes of intellectual structure in a subject area : with reference to Korean history (저자용인용 메핑과 학문의 지적구조변화)

  • 조명희
    • Journal of the Korean Society for information Management
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    • v.10 no.1
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    • pp.65-96
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    • 1993
  • This research fulfills two objectives of the study relating to the analysis of changing intellectual structure and its development of Korean history during 1980s: 1) investigation of intellectural structures of two successive time periods using author co-citation study analysis: 2) validation of the results of author co-citation analysis using assessments of experts collected from scholarly reviews and direct data drawn from the researchers in the area of Korean history. Three approaches to multivariate analysis as multi-dimensional scaling, cluster analysis, and factor analysis are used to display the inter-author relationships in the author similarity matrix.

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A Comparison Test on the Potential Utility between Author Profiling Analysis(APA) and Author Co-Citation Analysis(ACA) (저자프로파일링분석과 저자동시인용분석의 유용성 비교 검증)

  • Ryoo, Jong-Duk;Choi, Eun-Ju
    • Journal of the Korean Society for information Management
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    • v.28 no.1
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    • pp.123-144
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    • 2011
  • This study compared Author Profiling Analysis(APA) to Author Co-Citation Analysis (ACA). The former is a new analytic technique on the intellectual structure of a science whereas the latter is a traditional analytic technique. The purpose of this study was to propose appropriate methods to analyze intellectual structure of a science in the Korean research environment. In order to achieve the goal, this study adopted APA using Text Mining for analysis on the intellectual structure of a science rather than relying on citation index in order to determine a potential utility of the new analytic technique that can identify the intellectual structure.