• 제목/요약/키워드: 빅 룩

검색결과 3건 처리시간 0.017초

패션 트렌드의 주기적 순환성에 관한 빅데이터 융합 분석 (The Analysis of Fashion Trend Cycle using Big Data)

  • 김기현;변혜원
    • 한국융합학회논문지
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    • 제11권12호
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    • pp.113-123
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    • 2020
  • 본 논문은 과거와 현재의 패션 트렌드와 패션 유행 주기에 관한 빅데이터 분석을 실시하였다. 패션 전문가나 패션쇼가 아닌 일반 사람들의 데일리룩을 위한 패션 트렌드를 분석하는데 집중하였다. 소셜 매트릭스 도구인 텍스톰을 활용하여 빈도수 분석, N-gram 분석, 네트워크 분석 및 구조적 등위성 분석을 수행하였다. 분석 결과, 첫째, 패션 전문가가 아닌 일반 사람들의 데일리 룩을 대상으로 과거(1980년대, 1990년대)와 현재(2019년, 2020년)의 패션 키워드를 도출하였다. 둘째, 과거의 패션이 현재의 패션으로 재현되는 순환성과 순환 주기가 30-40년 정도로 짧아졌음을 빅데이터 분석을 통해 과학적으로 검증하였다. 셋째, 도출된 패션 키워드들의 구조적 등위성 분석을 수행한 결과, 과거 패션에서는 청바지 패션, 레트로 코디, 애슬레저룩, 연예인 복고패션의 4개의 군집으로, 현재 패션에서는 레트로 청바지, 뉴트로, 레이디 쉬크, 레트로 퓨처리즘의 4개의 군집을 확인하였다. 넷째, 과거의 패션이 현재의 패션으로 재현되고 진화하는 네트워크 연결 관계를 확인하고 그 배경에 관한 이슈를 고찰하였다. 이와 같은 연구결과는 과거와 현재의 패션 키워드를 도출하고 이로부터 패션 유행의 순환 주기를 확인함으로써 과거를 통해 미래 패션을 예측하도록 하는데 의의가 있다.

2015년도 이후 패션 컬렉션에 나타난 오버사이즈 룩의 의복구성 특성 분석 (An analysis of the construction elements of the "oversized" look in fashion collection since 2015)

  • 김경아
    • 복식문화연구
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    • 제27권5호
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    • pp.433-448
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    • 2019
  • Oversized fashion is again in the spotlight due to the influence of retro fashion. This has created new fashion trends with methods different from those of the past. This analysis examines recent trends by sorting these looks according to new and different methods of judging their appearance. A new categorization of the oversized look and its configurations has been created, one which separates "big" looks, partial changes, and layered looks. This research was based on historical review and previous studies. Three thousand one hundred thirty-six photos of oversized looks that have appeared in collections over the past five years were gathered, and their appearance was categorized according to type. The categorization results showed that big looks (55.1%) were most prevalent, followed by partial alterations (36.35%), and layered looks (8.45%). In comparison to prior oversized clothing production, new permutations of the "Big" look expanded the silhouettes of torso, shoulders, neckline and collar. Partial changes have expanded from the broadened shoulders of the 1980s. Today these styles expand the shoulders and armholes vertically or horizontally, which dramatically exaggerates the sleeves and collar. The layered look no longer simply features overlapping layers but takes the form of over-layering through cuts and insertions. Through such analysis it is clear that modern oversized looks break away from the simple expanded forms and production methods of the past. They now attempt to realize an exaggerated beauty of form regarding each clothing component and also maximize decorative effects through innovative drafting or sewing methods.

빅 데이터를 활용한 고프코어 룩에 대한 인식 (The Perception of Gorpcore Look Using Big Data)

  • 김지우;김정미
    • 한국의상디자인학회지
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    • 제25권4호
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    • pp.77-92
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    • 2023
  • The purpose of this study is to investigate the public perception of Gorpcore through Big Aata analytics. The study was conducted based on the collection of Big Data on the word 'Gorpcore' through Textom from July 24, 2017 to March 31, 2023. As a result, 63,386 words were collected from a total of 18,879 posts, and the top 50 words were determined based on frequency of appearance. Based on the collected words, centrality measures and CONCOR algorithm were performed in Ucinet 6. The research results are as follows. 1) The frequency of appearance was high in the order of 'Gorpcore look', 'fashion', 'coordination', 'clothes', 'outdoor', 'Musinsa', 'look', 'trend', 'brand' and 'ahjussi (middle-aged old man in Korean)'. These words had high TF-IDF scores, which leads to the conclusion that these are key words that are recognized as important. 2) Network centrality shows that 'Gorpcore look', 'fashion', 'outdoor', 'coordination', 'clothes', 'trend', 'look' and 'style' have a high correlation with other words. Through this, it was found that the public thinks it is important to create a variety of fashions by styling high-performance outdoor wear and casual wear, and that they are highly interested in clothes and in brands leading the Gorpcore trend. 3) As a result of the CONCOR algorithm, four significant groups were formed. The words that appear in each group are as follows. Group 1 - 'outdoor', 'Gorp', 'Normcore', 'hiking', 'functionality', 'new', 'sports', 'casual wear', 'activity', 'generation', 'collaboration'. Group 2 - 'fashion', 'trend', 'look', 'brand', 'style', 'shoes', 'ugly', 'item', 'trend', 'product', 'Salomon', 'padded jacket', 'stylishness', 'utilization', 'Winter', 'street', 'design', 'retro', 'popular', 'styling'. Group 3 - 'Gorpcore look', 'coordination', 'Musinsa', 'windbreaker', 'recommendation', 'Arcteryx', 'pants', 'man'. Group 4 - 'clothes' 'ahjussi', 'jacket', 'launching', 'spring', 'The North Face', 'collection', 'utility', 'jumper'. As a result, it can be seen that the Gorpcore is also regarded as a part of outdoor, fashion, coordination, and casual wear.