국내 사회적경제 연구 동향 분석: 텍스트 네트워크, 토픽 모델링 분석기법의 활용한 시기별 핵심 키워드 비교

Abstract

The purpose of this study is to examine the domestic research trends of social economy and to suggest the direction of future research using text networks and topic modeling analysis techniques. In this study, a total of 3,500 academic papers suitable for the research purpose registered in the Korean Journal Yongin Index(KCI) were set as analysis targets, and core keywords and research topics were compared and analyzed by major period.. As a result of the study, the words that appear in common across time were ‘Responsibility’, ‘Region’, ‘Entrepreneur’, ‘Service’, and ‘Consumer’. Since 2007, new words such as ‘capital’, ‘government’, ‘policy’, ‘system’, ‘management’, and ‘brand’ have emerged in common, which can be interpreted as the result of revitalization of related research as social economy-related legislation progresses.. This study has theoretical implications in that it deepened the knowledge base on domestic social economy research trends by analyzing vast amounts of data processing using text mining techniques.