소셜 네트워크 분석(Social Network Analysis)을 활용한 한국스포츠심리학 Knowledge Map 분석 - 25년간(1990-2014) 한국스포츠심리학회지 키워드를 중심으로

Abstract

The purpose of this study is to explore the flow of academic status and to establish the Knowledge map of the Keyword retrieved from papers in the ‘Journal of Korean sport psychology’ for 25 years. Research scope included keyword extracted from 520 papers in the area of “Sport Psychology” published in the Journal of ‘Korea Society of Sport Psychology’ from 1990 to 2014. Data pre-processing of extracted keyword was performed by Clustering and Simultaneous emergence matrix. Knowledge map was constructed by Social Network Analysis with extracted data. In this study, data pre-processing of extracted keyword was performed by Clustering and Simultaneous Emergence Matrix. Knowledge Map was constructed by Social Network Analysis with extracted data. We conducted the Word Cloud Analysis by utilizing R statistical package in order to visualize the frequency of subject keywords. We conducted the Centrality Analysis by pattern through Net Miner 4.2 in order to identify subject keyword’s intrinsic function and intellectual structure. We also conducted Community Analysis which is one of the social network analyses, thru Net Miner program in order to derive research area by each period. The results of analysis indicated that the subject keywords and the research concepts that were related to ‘motivation’, ‘emotion’ and ‘personality characteristics’ were playing the major role in sports psychology research. Also in the process of exploring these major theories, we could have an insight on entire research trend of how various psychological theories had newly emerged, declined or changed throughout each period. As a further study, examining research trend with a variety of view by identifying not only theory of paper but also citations and joint studies by authors could be an approach which can strengthen the insight of domestic sport psychology research trends.