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http://dx.doi.org/10.3743/KOSIM.2017.34.3.109

An Investigation on Characteristics and Intellectual Structure of Sociology by Analyzing Cited Data  

Choi, Hyung Wook (이화여자대학교 일반대학원 문헌정보학과)
Chung, EunKyung (이화여자대학교 사회과학대학 문헌정보학과)
Publication Information
Journal of the Korean Society for information Management / v.34, no.3, 2017 , pp. 109-124 More about this Journal
Abstract
Through a wide variety of disciplines, practices on data access and re-use have been increased recently. In fact, there has been an emerging phenomenon that researchers tend to use the data sets produced by other researchers and give scholarly credit as citation. With respect to this practice, in 2012, Thomson Reuters launched Data Citation Index (DCI). With the DCI, citation to research data published by researchers are collected and analyzed in a similar way for citation to journal articles. The purpose of this study is to identify the characteristics and intellectual structure of sociology field based on research data, which is one of actively data-citing fields. To accomplish this purpose, two data sets were collected and analyzed. First, from DCI, a total of 8,365 data were collected in the field of sociology. Second, a total of 12,132 data were collected from Web of Science with a topic search with 'Sociology'. As a result of the co-word analysis of author provided-keywords for both data sets, the intellectual structure of research data-based sociology was composed of two areas and 15 clusters and that of article-based sociology was composed with three areas and 17 clusters. More importantly, medical science area was found to be actively studied in research data-based sociology and public health and psychology are identified to be central areas from data citation.
Keywords
sociology; co-word analysis; DCI; intellectual structure; network analysis;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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