journal article·2023-02-27Open access

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

Min-Chang Kim

Applied Sciences· Volume 13· Issue 5

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.
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Research context

OpenAlex topics: Diverse Approaches in Healthcare and Education Studies · Educational Systems and Policies · Education, Safety, and Science Studies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

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

References (33)

Show source-provided references
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.
3. Countermeasure by changing of IPC Classification system—On the basis of the international trend analysis
4. Riff, D., Lacy, S., and Fico, F. (2014). Analyzing Media Messages: Using Quantitative Content Analysis in Research, Routledge.10.4324/9780203551691 ↗
5. Network analysis of message content
6. Content analysis schemer to analyze transcripts of online asynchronous discussion group: A review10.1016/j.compedu.2005.04.005 ↗
7. Popping, R. (2000). Computer-Assisted Text Analysis, Sage Publications.10.4135/9781849208741 ↗
8. Semantic networks and competition: Election year winners and losers in U.S. televised presidential debates, 1960–200410.1002/asi.20950 ↗
9. Olympic Ambush Marketing Networks and Knowledge Transfer: Examining Their Impact on the Institutionalization of Anti-Ambush Marketing Legislation10.1123/jsm.2015-0205 ↗
10. Graphic Techniques for Exploring Social10.1017/CBO9780511811395.012 ↗
11. Resource recombination’s in the firm: Knowledge structures and the potential for Schumpeterian innovation10.1002/(SICI)1097-0266(1998120)19:12<1193::AID-SMJ5>3.0.CO;2-F ↗
12. Analyzing social media networks: Learning by doing with NodeXL
13. What is special about social network analysis? Methodology: European
14. International Paralympic Committee (IPC) (2022, September 05). Available online: https://www.paralympic.org/classification/history.
15. Analysis of competition records by Sport class of IPC Para swimming freestyle events after application of evidence-based classification: Focus on S2 to S10 class
16. Comparison of PubMed, Scopus, web of science, and Google scholar: Strengths and weaknesses10.1096/fj.07-9492LSF ↗
17. Understanding the KrKwic: A computer program for the analysis of Korean text
18. Classifying the evidence for evidence-based classification in Paralympic sport10.1080/02640414.2021.1955523 ↗
19. The development of evidence-based classification of vision impairment in judo: A Delphi study10.3389/fpsyg.2019.00098 ↗
20. Cluster analysis of impairment measures to inform an evidence-based classification structure in RaceRunning, a new World Para Athletics event for athletes with hypertonia, ataxia or athetosis10.1080/02640414.2020.1860360 ↗
21. Protocol for the study of self-perceived psychological and emotional well-being of young Paralympic athletes10.1186/s12955-017-0798-2 ↗
22. Athlete mental health in the Olympic/Paralympic quadrennium: A multi-societal consensus statement10.1080/1612197X.2020.1746379 ↗
23. Inclusion through sport: A critical view on paralympic legacy from a historical perspective10.17645/si.v8i3.2735 ↗
24. Innovation for positive sustainable legacy from mega sports events: Virtual reality as a tool for social inclusion legacy for Paris 2024 paralympic games10.3389/fspor.2021.625677 ↗
25. United Nations (UN) (2022, September 05). Available online: https://sdgs.un.org/goals.
26. International Paralympic Committee (IPC) (2022, September 05). Available online: https://www.paralympic.org/news/dubai-2019-platform-un-sdgs.
27. International Paralympic Committee (IPC) (2022, September 05). Available online: https://www.paralympic.org/news/tokyo-2020-be-transformational.
28. (2022, October 10). International Paralympic Committee (IPC). Available online: https://www.paralympic.org/news/wethe15-named-best-inclusion-campaign-2022-leaders-sports-awards.
29. International Paralympic Committee (IPC) (2022, October 10). Available online: https://www.paralympic.org/para-sport/news/ipc-launches-para-sport-programme-grow-awareness-and-participation-para-sport.
30. (2022, October 10). International Paralympic Committee (IPC). Available online: https://www.paralympic.org/news/vista-2021-session-focus-ethics-and-integrity.
31. International Paralympic Committee (IPC) (2022, October 10). Available online: https://www.paralympic.org/news/vista-2019-para-sports-science-conference-opens-amsterdam.
32. Hogarth, L., Payton, C., Vliet, P.V.D., Jarvis, H., and Burkett, B. (2017, January 24). Impact of Limb Deficiency Impairment on Paralympic Swimming Performance: A Step Towards Evidence-Based Classification. Proceedings of the Vista 2017 Scientific Conference, Toronto, ON, Canada.
33. Legg, D. (2018). The Palgrave Handbook of Paralympic Studies, Palgrave Macmillan.