Exploring the Keyword Network Analysis and Research Trends for Sustainable Development of Paralympic Research: Based on Changes in Classification

Author:

Kim Min-Chang1ORCID

Affiliation:

1. The Research Institute of Physical Education & Sports Science, Korea National Sport University, Yangjae-daero, Seoul 1239, Republic of Korea

Abstract

This study aims to identify an overall keyword network by drawing on core keywords in Paralympic studies and analyzing the relationships. It also aims to provide information on the changes in Paralympic study trends through a time series analysis to understand change, according to the application of a new classification (evidence-based classification). This study made a bibliographic list of 1613 studies by collecting studies published between 2003 and 2022 using keyword network analysis (KNA). By refining to exclude unsuitable studies, 1404 studies and 6414 keywords were used for the analysis. As a result of analyzing entire Paralympic studies performed between 2003 and 2022, Paralympic studies were revealed to be on the rise. The entire Paralympic studies ascertained that the areas of study were mainstream and centered on the top three keywords: athlete; performance; and classification. Secondly, as a result of analyzing Paralympic study trends in a time series manner, based on 2017 when a new classification was applied, studies related to physical impairment centered on the top two keywords, athlete and performance, were mainstream in Section 1 (2003–2016). Olympic Games, performance, and wheelchairs formed detailed study areas. In the Paralympic studies in Section 2 (2017–2022), the relevant studies centered on the top two keywords, athletes and performance, were mainstream. Parasport, disability, and classification were ascertained to form detailed study areas. Through all this, the changed trend in the keyword Paralympics was confirmed. The results of this study are meaningful in that they can contribute to the expansion of the Paralympic areas of study and invigoration by exploring core keywords and providing relevant information based on the significant change point in time, including entire Paralympic study trends.

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference33 articles.

1. International Paralympic Committee (IPC) (2022, September 05). Available online: https://www.paralympic.org/agitos-foundation.

2. International Paralympic Committee (IPC) (2022, September 05). ‘VISTA2023’. Available online: https://www.paralympic.org/vista-2023.

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4. Riff, D., Lacy, S., and Fico, F. (2014). Analyzing Media Messages: Using Quantitative Content Analysis in Research, Routledge.

5. Network analysis of message content;Danowski;Prog. Commun. Sci.,1993

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