Abstract

Social network analysis is a graphical technique to search relationships and characteristics between nodes
(people, companies and organs, etc) and an important node positioning in the visualized social network figure.
But it is dicult to characterize nodes in this figure. Therefore, their relationships and characteristics could be
presented by applying correspondence analysis to aliation matrix which is a kind of similarity matrix between
nodes. In this study, we will provide the relationships and characteristics around co-authors and key-words of
JKSS in Korean Statistical Society by using social network analysis and correspondence analysis.

Keywords: Social network analysis, centrality, correspondence analysis, Journal of the Korean
Statistical Society .