title: Knowledge structure of korean medical informatics: a social network analysis of articles in journal and proceedings.
abstract: OBJECTIVE
  This study aimed at exploring the knowledge structure of Korean medical informatics.
  
  
  METHODS
  We utilized the keywords, as the main variables, of the research papers that were presented in the journal and symposia of the Korean Society of Medical Informatics, and we used, as cases, the English titles and abstracts of the papers (n = 915) published from 1995 through 2008. N-grams (bigram to 5-gram) were extracted from the corpora using the BiKE Text Analyzer, and their cooccurrence networks were generated via a cosine correlation coefficient, and then the networks were analyzed and visualized using Pajek.
  
  
  RESULTS
  With the hub and authority measures, the most important research topics in Korean medical informatics were identified. Newly emerging topics by three-year period units were observed as research trends.
  
  
  CONCLUSIONS
  This study provides a systematic overview on the knowledge structure of Korean medical informatics.
authors.affiliation: Biomedical Knowledge Engineering Laboratory, Seoul National University, Seoul, Korea.
authors.forename: Senator
authors.initials: S
authors.lastname: Jeong
authors.forename: Soo Kyoung
authors.initials: SK
authors.lastname: Lee
authors.forename: Hong-Gee
authors.initials: HG
authors.lastname: Kim