빅데이터를 활용한 군 초급간부 지원율 감소에 관한 사회적 담론 연구

Abstract

· Research topics: Utilizing big data, this study empirically analyzes social discourse and perceptions regarding the decline in application rates for junior military officer positions and proposes policy implications. · Research background: The population decline, driven by the world’s lowest birth rate, has resulted in various social issues and led to a decrease in application rates for junior military officer positions, presenting a significant threat to sustaining the junior officer ranks critical for maintaining national defense capabilities. · Differences from prior research: Using big data analysis methods, such as text mining and social network analysis, this study identifies characteristics of social discourse and perceptions on the declining application rates and offers policy-based solutions. · Research method: TF-IDF values were calculated and analyzed through text mining, and the top 50 keywords were selected to create a semantic network using social network analysis. Centrality analysis was also conducted, applying rigorous big data research methodologies. · Research results: Findings indicate that economic factors, social perceptions, and policy issues are key contributors to the declining application rates. The study emphasizes the need for enhanced salaries and welfare benefits for junior officers, societal perception shifts, and improved welfare conditions as critical measures. · Contribution points and expected effects: The research is expected to serve as foundational data in providing policy direction to address the decline in application rates for junior military officer positions.