Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

텍스트마이닝과 소셜네트워크 분석을 통한 스포츠 분야 학술 Knowledge Map 구축과 활용Structure and use knowledge map of sports field through text mining and social network analysis

Authors
박성제이제욱
Issue Date
Aug-2017
Publisher
한국체육과학회
Keywords
Knowledge Map; Social Network Analysis; Text Mining
Citation
한국체육과학회지, v.26, no.4, pp 639 - 653
Pages
15
Journal Title
한국체육과학회지
Volume
26
Number
4
Start Page
639
End Page
653
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/5491
DOI
10.35159/kjss.2017.08.26.4.639
ISSN
1226-0258
Abstract
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.
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.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Sport Science > School of Sports Sciences > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Park, Sung Je photo

Park, Sung Je
체육대학 (스포츠과학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE