Semantic Network Analysis of Gorpcore

Abstract

Outdoor apparel brands have tried to expand the market in various ways and create new demand. They have created a new style called “Gorpcore,” which is the crossover phenomenon of outdoor wear. The purpose of this study is to investigate the gorpcore trend, which has greatly affected the fashion industry in recent years, through semantic network analysis. In this paper, we extracted words from news article titles found using Google. We visualized the semantic network using the NodeXL program and then analyzed network characteristics. The gorpcore style is more prominent in menswear and outerwear used during the fall-winter season. Middle-aged consumers who have usually been alienated in fashion have been embraced through gorpcore, which is preferred by the new generation “Z,” who favors comfort over beauty.