A Study on the Semantic Network Structure of the Regime in the Image Contents

Hwang,, G. , & Moon,, S. (2017). A Study on the Semantic Network Structure of the Regime in the Image Contents. 한국비블리아학회지, 28(3), 217-240, https://doi.org/10.14699/kbiblia.2017.28.3.217

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Abstract

The purpose of this study was to investigate the semantic network analysis to understand image contents and to examine the degree to which words, word clusters contributed to the formation of semantic map within image contents. For this research, from 1993 until 2016 the field of the image contents were collected for a total of 2,624 cases papers. The word appeared in Title analyzed the social network by using the R program of Big Data. The results were as follows: First, The field of image contents is based on researches related to 'image', 'media' and 'contents'. Second, there is a three-step flow ('education' -> 'media' -> 'contents') of research in the field of image contents. Third, researches related to 'broadcasting', 'digital', 'technology', and 'production' were continuously carried out. Finally, There were new research subjects for each regime.

keywords: 영상콘텐츠, 문화정책, 빅데이터, 영상교육, 미디어플랫폼

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Article Contents

Vol.28 No.3

A Study on the Semantic Network Structure of the Regime in the Image Contents

Abstract

한국비블리아학회지