Keyword-citation-keyword network: A new method for discipline knowledge structure analysis

As an important analysis method in bibliometrics, co-word analysis is used to map knowledge domain and discover the discipline knowledge structure based on the co-occurrence relationship between keywords in articles. In view of the problem existed in the traditional methods that the importance of keywords is not distinguished by the article and the co-occurrence of keywords is limited to the same article, the citation network is combined with the co-word analysis in this paper and a Keyword-Citation-Keyword (KCK) network is constructed. Then an empirical study is conducted in the computer science domain and the Mapping Knowledge Domain is generated by Gephi. The results indicate that compared with the traditional co-word network, the proposed method not only shows a better clustering performance but also discovers the important intellectual structure