This study compared the discourse structure of ‘Plant-based milk’ between A (2015~2017) and B (2022~2024) using Korean web texts. After applying uniform preprocessing to sources from Naver, Daum, and Google, the frequency, centralities, and the structural properties of the network on the top-30 nodes were investigated. The QAP correlation was calculated on a weighted co-occurrence adjacency matrix constructed from the 17-node intersection and assessed structural reconfiguration via CONCOR. The hub formed by milk, plant-based, and protein persisted while the edges and density increased from 240 to 266 and from 0.276 to 0.306, respectively. QAP yielded r=0.793 and p=0.001, indicating significant similarity in network-wide tie-strength patterns. In addition, CONCOR showed the foregrounding of segmented product lines and market, use, and menu contexts implying a reallocation of the periphery.

Abstract
I. 서 론
II. 연구 내용 및 방법
    1. ‘식물성 우유’ 관련 연구 동향
    2. 텍스트 네트워크 분석 선행연구
    3. 자료 조사 수집
    4. 분석 절차
III. 결과 및 고찰
    1. 핵심단어의 빈도분석
    2. 네트워크의 구조적 특성
    3. 네트워크 내 주제어의 중심성 분석
    4. 두 네트워크 간 QAP 분석
    5. CONCOR 분석
IV. 요약 및 결론
저자정보
감사의 글
Conflict of Interest
References

• 장정민(장안대학교 호텔외식조리과 호텔조리전공) | Jeong Min Jang (Department of Hotel Culinary Arts, Hotel Culinary Major, Jangan University, Korea) Corresponding author