  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 ten or more times in the 1652 journal titles of the China
Scientific and Technical Papers and Citations Database. The word occurrence
matrix is visualized and factor-analyzed.
