Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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Social Network Analysis and Its Applications for Authors and Keywords in the JKSS

  • Kim, Jong-Goen (School of Computer and Information, Busan Institute of Science and Technology) ;
  • Choi, Soon-Kuek (Department of Statistics, Pusan National University) ;
  • Choi, Yong-Seok (Department of Statistics, Pusan National University)
  • Received : 2012.02.07
  • Accepted : 2012.06.04
  • Published : 2012.07.31
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Abstract

Social network analysis is a graphical technique to search the relationships and characteristics of nodes (people, companies, and organizations) and an important node for positioning a visualized social network figure; however, it is difficult to characterize nodes in a social network figure. Therefore, their relationships and characteristics could be presented through an application of correspondence analysis to an affiliation matrix that is a type of similarity matrix between nodes. In this study, we provide the relationships and characteristics around authors and keywords in the JKSS(Journal of the Korean Statistical Society) of the Korean Statistical Society through the use of social network analysis and correspondence analysis.

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