| Peer-Reviewed

Clarifying the Positive Thoughts Structure of Sport Societal Values by Neural Network Approaches in COVID-19 Pandemic

Received: 15 February 2022     Accepted: 2 March 2022     Published: 12 March 2022
Views:       Downloads:
Abstract

Purpose of this study was to clarifying the relationship structures with social values of complex sports and positive thought under today's COVID-19 social anxiety by neural networks and network-centric analysis. The Value items were the terminal ones (benevolence, equality, accomplishment, global stability, hope for future, proud country, family bond etc.) and the instrumental ones (consistent, creative, light hearted, honest, ambition, creative, polite, etc.). The subjects (university students; n = 221) received an explanation of the study’s structure and of various sports-related benevolent activities such as donations, charity matches and voluntary disaster relief activities. Next, they were asked, ‘What types of values do you recognize in benevolent sports activities in world-wide health anxiety under COVID-19 pandemic?’ Neural network model, random forest model and correspondence analysis were executed and discussed some relation structure of societal human values of sport with the positive thoughts under COVID-19 pandemic. Current study shows the possibility of supporting the understanding of the complex, gradual, transitive, and central structures of diverse sport values by approaching network analysis. As a result, it was clarified that the social wisdom of these sports would be a desire to support the survival of the physical society more creatively. Under the social unrest in the advanced information society, the importance of tactile communities such as sports was confirmed.

Published in Humanities and Social Sciences (Volume 10, Issue 2)
DOI 10.11648/j.hss.20221002.14
Page(s) 58-64
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

Sports, Societal Human Value, Network Analysis

References
[1] Aronson, E. (1989). The social animal. W. H. Freeman and Company.
[2] Barbu, M. C. R., et al, (2022). Sustainability and Social Responsibility of Romanian Sport Organizations, Sustainability, 2022, 14, 643. https://doi.org/10.3390/su14020643.
[3] Bellah, E. R. N. (1986). Habits of the heart: Individualism and commitment in American life, University of California Press.
[4] Guan, S. & Wang, X. (2022). Optimization analysis of football match prediction model based on neural network. Neural Computing and Applications, 34, 2525-2541. https://doi.org/10.1007/s00521-021-05930-x.
[5] Hall, E. T. et al. (2021). Doing hybrid management work in elite sport: the case of a head coach in top-level rugby union. Sport Management Review, 24 (2), 271-296.
[6] Harari, Y. N. (2011). Sapiens; brief history of human kind, Kinneret, Zmora-Bitan Dvir.
[7] Junker. B., & Schreiber, F. (200)). Analysis of Biological Networks. Hoboken (NJ): John & Wiley & Sons, Inc, 1-13.
[8] Kessel, C. V. et al. (2021). Responding to Worldview Threats in the Classroom: An Exploratory Study of Preservice Teachers. Journal of Teacher Education, https://doi.org/10.1177/00224871211051991.
[9] Licen, S. et al. (2020). Sustainable development principles in U.S. sport management graduate programs. Sport, Education and society 27 (1) 2020, 99-112.
[10] Meng L. & Qiao, E. (2021). Analysis and design of dual-feature fusion neural network for sports injury estimation mode. Neural Computing and Applications, https://doi.org/10.1007/s00521-021-06151-y.
[11] Papic, c. et al. (2020). Improving data acquisition speed and accuracy in sport using neural networks. Journal of Sports Sciences, 39, 5, 513-522. https://doi.org/10.1080/02640414.2020.1832735.
[12] Putnam, R. D. (2001). Bowling alone, Simon and Schuster.
[13] Ramos, J. et al. (2018). What’s next in complex networks? Capturing the concept of attacking play in invasive team sports. Sports Medicine. 2018: 48 (1): 17–28. https://doi.org/10.1007/s40279-017- 0786-z PMID: 28918464.
[14] Riesman, D. (1950). Lonely crowd, Yale University Press.
[15] Riser, R. The Theatre of National Identity in Modern Sport. Sports, Ethics and Philosophy, 14 (3) 377-390, 2020.
[16] Rokeach, M. The nature of human values, The Free Press, 1973.
[17] Rothwell, M. et al, Investigating the athlete-environment relationship in a form of life: an ethnographic study Sport, Education and Society, 27 (1) 113-128, 2020.
[18] Sanz-Leon, P., et al. (2015). Mathematical framework for large-scale brain network modeling in The Virtual Brain. NeuroImage, 111, 385-430.
[19] Sasaki, K. et al. (2013). Cognitive societal human values of sports: After the 2011 disaster of Japan, Social Sciences, 2 (1), 1-6, 2013, DOI: 10.11648/j.ss.20130201.11.
[20] Sasaki, K. et al. (2015). Proud lonely athletes: using network centrality analysis to clarify the societal values of sport after the 2011 disaster in Japan. Advances in Social Sciences Research Journal, 2 (5), 83-92, DOI: 10.14738/assrj.25.1173.
[21] Sasaki, K. et al., (2019). Athletes’ pride bridge; Network centrality analysis to clarify the societal values of sports after the 2011 disaster in Japan. Advances in social science research Journal, 6 (2), 440-50. DOI: 10.14738/assrj.62.6243.
[22] Shalley, C. E. & Perry-Smith, J. E. The emergence of team creative cognition: the role of diverse outside ties, sociocognitive network centrality, and team evolution. Strategic Entrepreneurship Journal. 2008: 2 (1): 23–41.
[23] Solomon, S. et al. (2015). The Worm at the Core: On the Role of Death in Life. Random House.
[24] Steidinger, B. S., et al. (2019). Climatic controls of decomposition drive the global biogeography of forest-tree symbioses. Nature, 569, 404–408. https://doi.org/10.1038/s41586-019-1128-0.
[25] Suzuki T. Network Analysis. Tokyo (JPN): Kyouritsu Shuppan. 2009.
[26] Watson, N. at al., (2020). Integrating machine learning and decision support in tactical decision-making in rugby union, Journal of the operational research society, 72 (10), 2774-2285. https://doi.org/10.1080/01605682.2020.1779624.
[27] Wei, Z. et al. (2021). Analysis of Effectiveness and Performance Prediction of Sports Flipped Classroom Teaching Based on Neural Networks. Scientific Programming, 5284457, https://doi.org/10.1155/2021/5284457.
[28] Williams, J. et al, (2020). ‘…if my family didn’t play football… we would literally have pretty much nothing’: how high school Aboriginal students continue culture through rugby league and Australian football, Sport, Education and Society, 27 (1), 57-71, 2022.
[29] Xu, Q. & Yin, J. (2021). Application of Random Forest Algorithm in Physical Education. Scientific Programming, 1996904, https://doi.org/10.1155/2021/1996904.
[30] Yuan, c. et al, (2021). ports decision-making model based on data mining and neural network. Nearal Computing and Applications, 33, 3911–3924. https://doi.org/10.1007/s00521-020-05445-x.
[31] Zuo, X. N. et al. Network centrality in the human functional connections. Cereb Cortex. 2011: 22 (8): 18621875.
Cite This Article
  • APA Style

    Koh Sasaki. (2022). Clarifying the Positive Thoughts Structure of Sport Societal Values by Neural Network Approaches in COVID-19 Pandemic. Humanities and Social Sciences, 10(2), 58-64. https://doi.org/10.11648/j.hss.20221002.14

    Copy | Download

    ACS Style

    Koh Sasaki. Clarifying the Positive Thoughts Structure of Sport Societal Values by Neural Network Approaches in COVID-19 Pandemic. Humanit. Soc. Sci. 2022, 10(2), 58-64. doi: 10.11648/j.hss.20221002.14

    Copy | Download

    AMA Style

    Koh Sasaki. Clarifying the Positive Thoughts Structure of Sport Societal Values by Neural Network Approaches in COVID-19 Pandemic. Humanit Soc Sci. 2022;10(2):58-64. doi: 10.11648/j.hss.20221002.14

    Copy | Download

  • @article{10.11648/j.hss.20221002.14,
      author = {Koh Sasaki},
      title = {Clarifying the Positive Thoughts Structure of Sport Societal Values by Neural Network Approaches in COVID-19 Pandemic},
      journal = {Humanities and Social Sciences},
      volume = {10},
      number = {2},
      pages = {58-64},
      doi = {10.11648/j.hss.20221002.14},
      url = {https://doi.org/10.11648/j.hss.20221002.14},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.hss.20221002.14},
      abstract = {Purpose of this study was to clarifying the relationship structures with social values of complex sports and positive thought under today's COVID-19 social anxiety by neural networks and network-centric analysis. The Value items were the terminal ones (benevolence, equality, accomplishment, global stability, hope for future, proud country, family bond etc.) and the instrumental ones (consistent, creative, light hearted, honest, ambition, creative, polite, etc.). The subjects (university students; n = 221) received an explanation of the study’s structure and of various sports-related benevolent activities such as donations, charity matches and voluntary disaster relief activities. Next, they were asked, ‘What types of values do you recognize in benevolent sports activities in world-wide health anxiety under COVID-19 pandemic?’ Neural network model, random forest model and correspondence analysis were executed and discussed some relation structure of societal human values of sport with the positive thoughts under COVID-19 pandemic. Current study shows the possibility of supporting the understanding of the complex, gradual, transitive, and central structures of diverse sport values by approaching network analysis. As a result, it was clarified that the social wisdom of these sports would be a desire to support the survival of the physical society more creatively. Under the social unrest in the advanced information society, the importance of tactile communities such as sports was confirmed.},
     year = {2022}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Clarifying the Positive Thoughts Structure of Sport Societal Values by Neural Network Approaches in COVID-19 Pandemic
    AU  - Koh Sasaki
    Y1  - 2022/03/12
    PY  - 2022
    N1  - https://doi.org/10.11648/j.hss.20221002.14
    DO  - 10.11648/j.hss.20221002.14
    T2  - Humanities and Social Sciences
    JF  - Humanities and Social Sciences
    JO  - Humanities and Social Sciences
    SP  - 58
    EP  - 64
    PB  - Science Publishing Group
    SN  - 2330-8184
    UR  - https://doi.org/10.11648/j.hss.20221002.14
    AB  - Purpose of this study was to clarifying the relationship structures with social values of complex sports and positive thought under today's COVID-19 social anxiety by neural networks and network-centric analysis. The Value items were the terminal ones (benevolence, equality, accomplishment, global stability, hope for future, proud country, family bond etc.) and the instrumental ones (consistent, creative, light hearted, honest, ambition, creative, polite, etc.). The subjects (university students; n = 221) received an explanation of the study’s structure and of various sports-related benevolent activities such as donations, charity matches and voluntary disaster relief activities. Next, they were asked, ‘What types of values do you recognize in benevolent sports activities in world-wide health anxiety under COVID-19 pandemic?’ Neural network model, random forest model and correspondence analysis were executed and discussed some relation structure of societal human values of sport with the positive thoughts under COVID-19 pandemic. Current study shows the possibility of supporting the understanding of the complex, gradual, transitive, and central structures of diverse sport values by approaching network analysis. As a result, it was clarified that the social wisdom of these sports would be a desire to support the survival of the physical society more creatively. Under the social unrest in the advanced information society, the importance of tactile communities such as sports was confirmed.
    VL  - 10
    IS  - 2
    ER  - 

    Copy | Download

Author Information
  • Research Centre for Health, Physical Fitness & Sports, Nagoya University, Nagoya, Japan

  • Sections