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Analysis of Public Library Operations and Uses of 16 Metropolitan Local Governments of Korea by Using the Chernoff Face Method

Kim, Young-seok 1

1명지대학교

Accredited

ABSTRACT

This study aims to conduct a big data analysis of public library operations and uses of 16 metropolitan local government of Korea by using the Chernoff face method. This study is the first to use the Chernoff face method for big data analysis of library services in library and information research. The association of variables and human facial features was decided by survey. The study reveals that in general the provincial governments in Korea operate more libraries, invest more budgets, allocate more staff and hold more collections than metropolitan cities. This administration resulted in more use of libraries in provincial governments than metropolitan cities.

Citation status

* References for papers published after 2022 are currently being built.