네트워크 분석을 활용한 한국어 발음 교육 연구 동향 연구

Network Analysis on the Intellectual Structure of Korean Pronunciation Education Research Trends

Understanding research trends is a good way to keep up with research needs. Most of the researches on research trends in the area of Korean pronunciation education tend to have been conducted in a traditional way depending on the researcher’s subjective criteria. A network approach makes it possible to uncover recent trends in an objective way with a new perspective based on the network relations by analyzing words appearing in the titles of scholarly articles. To uncover the recent trends in the area of Korean pronunciation education research, 357 articles on Korean pronunciation education research were collected and 2,778 keywords were extracted for a frequency analysis and a co-word analysis. Their relationships were then analyzed by the algorithms of Pathfinder Networks (PFNets) and Parallel Nearest Neighbor Clustering (PNNC), the results were visualized by NodeXL. The patterns and clusters on the network provided a broad understanding of how research areas have evolved over time and emerging research areas.