Co-word analysis using the Chinese character set

Authors:
Loet Leydesdorff;Ping Zhou
Affiliations:
Amsterdam School of Communications Research (ASCoR), University of Amsterdam, Kloveniersburgwal 48, 1012 CX Amsterdam, The Netherlands;K.U. Leuven, Steunpunt O&O Indicatoren, Dekenstraat 2, B-3000 Belgium and the Institute of Scientific and Technical Information of China,15 Fuxing Road, Beijing, 100038, P.R. China
Venue:
Journal of the American Society for Information Science and Technology
Year:
2008

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Abstract

Until recently, Chinese texts could not be studied using co-word analysis because the words are not separated by spaces in Chinese (and Japanese). A word can be composed of one or more characters. The online availability of programs that separate Chinese texts makes it possible to analyze them using semantic maps. Chinese characters contain not only information but also meaning. This may enhance the readability of semantic maps. In this study, we analyze 58 words which occur 10 or more times in the 1,652 journal titles of the China Scientific and Technical Papers and Citations Database. The word-occurrence matrix is visualized and factor-analyzed. © 2008 Wiley Periodicals, Inc.