소셜 네트워크 빅데이터를 활용한 은유 디자인 키워드 분석 -UI 은유 디자인을 중심으로-

This study is a big data study related to metaphor design using social network media text mining, and aims to understand the use and perception of metaphor design. Keywords related to metaphor design were analyzed and keywords were collected and refined through big data text mining. Using Ucinet, major keywords with relatively high frequency of appearance were clustered, CONCOR analysis was conducted, and network grouping analysis was conducted for major keywords through Gephi. As a result of searching for information related to 'metaphor design', 'UI design', 'visual design', 'application', and 'trend' by setting the last five years as a search period, a total of more than 27,000 cumulative cases were searched. Among them, 18,922 cases were related to "metaphor design", and a total of 66 main keywords were extracted based on the frequency of public appearance of the keyword "metaphor design" and network visualization was conducted based on the degree centrality value. As a result of CONCOR analysis on 66 major keywords, four groups were formed: 'Application of the concept of metaphor design driver', 'User reaction generated by metaphor design', 'Trend of development of metaphor design', and 'Design service formed by metaphor design'. In future design studies, big data analysis can be used to explore the current status and future direction of metaphor design in UI design, and it is expected that future development directions and strategic suggestions of metaphor design based on the results of this study will be used as basic data for related design.