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자연어 처리를 기반으로 하는 학술지 집단 간의 정체성 분석과 공저자 네트워크 분석

Identifying Group Identities and Co-authorship Networks Analysis in Academic Journals Based on Natural Language Processing

김미경|송만석|박종환
한국피부과학연구원 (Korea Institute of Dermatological Sciences)|2024.12|아시안뷰티화장품학술지 (Asian Journal of Beauty and Cosmetology)|제22권 제4호|pp. 553-581

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참고문헌

키워드

군집분석토픽 모델링텍스트 마이닝공저자 네트워크 분석유사도 분석文本挖掘，聚类分析，合著者网络分析，主题建模，相似度分析
주제분류미용

초록

목적: 본 연구는 “학술연구정보서비스”에서 “아시안뷰티화장품학술지”와 국내 학술지 논문 제목에서 “화장품”을 키워드로 사용하는 학술지의 연구 논문 초록을 크롤링하여, 이들 두 집단은 과연 차별화된 정체성으로 포지셔닝되어 있으며, 어떠한 유사도와 차이점을 가지고 있을까? 에 대한 의문으로 시작하였다. 방법: 본 연구를 수행하기 위해 Python version 3.10.9 프로그램을 이용하여 학술연구정보서비스에서 아시안뷰티화장품학술지 433편의 연구 논문과 ‘화장품’이라는 키워드로 5,232편의 연구 논문을 크롤링하여 전처리 과정을 거쳐서 군집 분석, 공저자 네트워크 분석, 토픽 모델링 분석, 유사도 분석을 시행하였다. 결과: 두 학술지 집단은 모두 공통적으로 화장품 산업의 핵심 요소인 피부, 소비자 행동, 브랜드 전략 등 다양한 주제를 다루고 있는 것으로 나타났으나, 세부적으로는 연구 초점이 다르게 나타났으며, 정체성이 차별화되어 있는 것으로 나타났다. 결론: 공저자 네트워크 분석에서 나타난 각 중심성 분석 결과는 연구의 시너지 효과 극대화를 위한 각 공저자의 역할과 영향력을 알 수 있었으며, 아시안뷰티화장품학술지는 비교 대상 군과는 다른 고유한 차별화된 정체성을 가지고 있는 것으로 나타났다.

Abstract

Purpose: The aim of this study was to determine whether the “Asian Journal of Beauty and Cosmetology” and domestic journals that use “cosmetics” as a keyword in the abstract of their paper, are positioned with differentiated identities and to identify the similarities and differences between them. All articles were procured from the “Research Information Sharing Service.” Methods: Python version 3.10.9 was used in this study to identify 433 research papers from the “Asian Journal of Beauty and Cosmetology” and 5,232 research papers with the keyword “cosmetic” from the “Research Information Sharing Service.” After preprocessing the articles, a co-author network analysis was performed, followed by cluster analysis and topic modeling analysis. Four types of similarity analyses were performed based on the results obtained. Results: The two journal groups were found to commonly cover a variety of topics such as skin, consumer behavior, and brand strategy, that are central to the cosmetics industry. However, the research topics had different central focuses, indicating distinct identities. Conclusion: The centrality analysis results from the co-authorship network analysis revealed the roles and influence of each co-author in maximizing the synergy of research. The identity of the Asian Journal of Beauty and Cosmetology was found be unique and differentiated, compared with the comparison group.

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