한국 현대사 인물 네트워크 사례연구: 김종필 증언록을 중심으로

This study introduces a contemporary historical figures network of Korea as a case study using social network analysis and text mining. In this study, text mining and social network analysis were conducted on testimony articles of Kim Jong-Pil, who is an important figure of Korean contemporary history and famous as a strategist. Kim Jong-Pil’s testimony is a collection of articles by interviews between Joongang Ilbo and Kim Jong-Pil. These articles were published online on a total of 114 occasions from March 2015 until December of that year. 114 Kim Jong-Pil’s testimony articles were classified based on 8 big chapters according to the passage of time and historical events, and each of the 8 big chapters consists of 8~19 detail chapters (articles). Text mining was performed using SAS Enterprise Miner to extract only major historical figures appearing in each detail chapter. After that, the historical figure-detail chapter 2-mode network was constructed based on each of the 8 big chapters, and then converted into a historical figure relation network of 1-mode. The 1-mode network is analyzed and visualized using UCINET6 and NetDraw. Through the analysis, we have effectively grasped the relationship between historical figures and historical implications in Korea's major contemporary history as seen from the viewpoint of Kim Jong-Pil. Also, in the whole chapters of testimony, the data of the frequency of appearance of the historical figures were reflected in the network visualization, so that the key historical figures per main chapter could be easily identified. This case study confirmed the usefulness of the network approach in understanding historical events and figures.