Structure and use knowledge map of sports field through text mining and social network analysis
Sung-Je Park, Jea Woog Lee · Korean Journal of Sports Science · 2017
Knowledge Map utilizes the mathematical characteristics of the data internally produced in the phenomenon of simultaneous occurrence (Co-occurrence) such as the subject keyword, the citation relation. Through mathematical analysis, we construct each simultaneous occurrence relation, and its form is a method showing visually mapping the structure of knowledge. We cried out internal reasonable problems that may occur at the stage of text mining necessary in the course of developing research methods and applied various functions of social network analysis to Knowledge Map construction to investigate trends in academic research It is necessary to further diversify the point of view. It can also be used as an indicator for effective execution of research on Knowledge Map in the natural sciences field which has not been tried yet. In this research, as a methodology of research that can accelerate the research approach of patent analysis of sports technology as a quantitative index that can further strengthen objectivity about the trend of academic research, text mining and social network To build a Knowledge Map and to utilize it.