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웹과 학술지를 통한 학술커뮤니케이션의 특성연구

A Comparative Study on the Characteristics of Scholarly Communication in Subject Fields through the Web and Scientific Journals

정보관리학회지 / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2007, v.24 no.4, pp.73-96
https://doi.org/10.3743/KOSIM.2007.24.4.073
민기은 (진성고등학교)
정영미 (연세대학교)
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초록

이 연구에서는 웹과 학술지를 통한 학술 커뮤니케이션의 특성을 각각 분석하고, 웹상에서의 학술 커뮤니케이션 패턴이 학문 분야에 따라 어떤 차이를 보이는지 비교하였다. 경제학과 컴퓨터공학정보시스템 분야에서 키워드를 추출하여 이와 관련된 학술적 웹페이지와 학술지 논문을 수집하였고, 이를 학술적 웹페이지의 특성, 웹페이지 동시링크와 학술지 논문 동시인용 데이터의 다차원척도(MDS) 분석, 시간의 흐름에 따른 학술 활동의 변화 등 세 가지 측면에서 분석하였다. 분석 결과, 웹과 학술지를 통한 학술 커뮤니케이션에는 공통점과 차이점이 나타났으며, 이런 현상은 두 학문 분야에서 모두 확인되었다. 그리고 웹을 통한 학술 커뮤니케이션의 경우 같은 학문 분야 내의 세부 주제에 따라서 고유한 특성이 나타나는 것을 볼 수 있었다.

keywords
scholarly communication, co-link analysis, co-citation analysis, Multi-Dimensional Scaling analysis, 학술 커뮤니케이션, 동시링크 분석, 동시인용 분석, 다차원척도 분석scholarly communication, co-link analysis, co-citation analysis, Multi-Dimensional Scaling analysis, scholarly communication, co-link analysis, co-citation analysis, Multi-Dimensional Scaling analysis

Abstract

In this study, the characteristics of scholarly communication through the Web and scientific journals are explored, and scholarly communication patterns in two scientific disciplines are compared to reveal the difference. Economics and Computer Science-Information Systems are selected as two disciplines to be analyzed. In the data collection process, 10 keywords are extracted from a database for each subject field, and scholarly Web pages and journal articles related to these keywords are collected and analyzed. Our investigation includes the characteristics of scholarly Web pages, Multi-Dimensional Scaling (MDS) analysis of co-linked Web pages as well as co-cited journal articles, and changes in the scholarly communication activities occurring on the Web and in scientific journals respectively over time. We found certain differences as well as common features in scholarly communication patterns between the Web and scientific journals for both fields of Economics and Computer Science. We also found that scholarly communication occurring on the Web displays unique features for each subtopic within the same field of study.

keywords
scholarly communication, co-link analysis, co-citation analysis, Multi-Dimensional Scaling analysis, 학술 커뮤니케이션, 동시링크 분석, 동시인용 분석, 다차원척도 분석scholarly communication, co-link analysis, co-citation analysis, Multi-Dimensional Scaling analysis, scholarly communication, co-link analysis, co-citation analysis, Multi-Dimensional Scaling analysis

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