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Vol.24 No.4
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A Comparative Study on the Characteristics of Scholarly Communication in Subject Fields through the Web and Scientific Journals

Journal of the Korean Society for Information Management / 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


& (2007). A Comparative Study on the Characteristics of Scholarly Communication in Subject Fields through the Web and Scientific Journals. Journal of the Korean Society for Information Management, 24(4), 73-96, https://doi.org/10.3743/KOSIM.2007.24.4.073
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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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