IDEAS home Printed from https://ideas.repec.org/a/taf/rpanxx/v17y2017i6p822-831.html
   My bibliography  Save this article

Network centrality analysis to determine the tactical leader of a sports team

Author

Listed:
  • Koh Sasaki
  • Takumi Yamamoto
  • Masahiko Miyao
  • Takashi Katsuta
  • Ichiro Kono

Abstract

Purpose: The goal of this study was to clarify the defensive structures that play a decisive role in the game of Rugby football, which is a competitive team sport. Method: The study used data from games played under the Rugby Union code, and particularly on turnovers made during defensive plays in the 2015 Rugby World Cup. Social network centrality analysis was applied to analyse organisational strategies. A correspondence analysis performed using centering resonance techniques was shown to deepen our understanding of relationship structures in network mapping, while the application of network analysis was able to improve the description of complex passages of play. Result: Eigenvector centrality would reflect the specific network structures of one’s neighbour vertexes. It also reflects the centrality of all other vertexes that can be further reached from directly involved ones. Team sports rely on cooperation between teammates. The applications of network analysis would be one viewpoint of representing a society in which decision-making behaviours are taken on the basis of human relationships.

Suggested Citation

  • Koh Sasaki & Takumi Yamamoto & Masahiko Miyao & Takashi Katsuta & Ichiro Kono, 2017. "Network centrality analysis to determine the tactical leader of a sports team," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 17(6), pages 822-831, November.
  • Handle: RePEc:taf:rpanxx:v:17:y:2017:i:6:p:822-831
    DOI: 10.1080/24748668.2017.1402283
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/24748668.2017.1402283
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/24748668.2017.1402283?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jordi Duch & Joshua S Waitzman & Luís A Nunes Amaral, 2010. "Quantifying the Performance of Individual Players in a Team Activity," PLOS ONE, Public Library of Science, vol. 5(6), pages 1-7, June.
    2. Sinan Aral & Christos Nicolaides, 2017. "Exercise contagion in a global social network," Nature Communications, Nature, vol. 8(1), pages 1-8, April.
    3. Kentaro Inoue & Shinichi Shimozono & Hideaki Yoshida & Hiroyuki Kurata, 2012. "Application of Approximate Pattern Matching in Two Dimensional Spaces to Grid Layout for Biochemical Network Maps," PLOS ONE, Public Library of Science, vol. 7(6), pages 1-12, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yiang Li & Xingzuo Zhou & Zejian Lyu, 2024. "Regional contagion in health behaviors: evidence from COVID-19 vaccination modeling in England with social network theorem," Journal of Computational Social Science, Springer, vol. 7(1), pages 197-216, April.
    2. Yi Cao & Tao Zhou & Jian Gao, 2024. "Heterogeneous peer effects of college roommates on academic performance," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    3. Christos Nicolaides & Demetris Avraam & Luis Cueto‐Felgueroso & Marta C. González & Ruben Juanes, 2020. "Hand‐Hygiene Mitigation Strategies Against Global Disease Spreading through the Air Transportation Network," Risk Analysis, John Wiley & Sons, vol. 40(4), pages 723-740, April.
    4. Michael P. Leung, 2023. "Network Cluster‐Robust Inference," Econometrica, Econometric Society, vol. 91(2), pages 641-667, March.
    5. Ana Balsa & Carlos Díaz, 2018. "Social interactions in health behaviors and conditions," Documentos de Trabajo/Working Papers 1802, Facultad de Ciencias Empresariales y Economia. Universidad de Montevideo..
    6. Indrani Saran & Günther Fink & Margaret McConnell, 2018. "How does anonymous online peer communication affect prevention behavior? Evidence from a laboratory experiment," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-16, November.
    7. Di Lizia, Adam, 2024. "Social Influence in Online Reviews : Evidence from the Steam Store," The Warwick Economics Research Paper Series (TWERPS) 1505, University of Warwick, Department of Economics.
    8. Tomás Rodríguez & Jorge Tovar, 2023. "The hedgehog or the fox: Versatility and performance in professional soccer," Documentos CEDE 20757, Universidad de los Andes, Facultad de Economía, CEDE.
    9. Vitalis, Kyriacos & Stefanidis, Dimosthenis & Pallis, George & Dikaiakos, Marios & Nicolaou, Nicos & Nicolaides, Christos, 2024. "Quantifying the impact of online social networks on the success of entrepreneurs," OSF Preprints x6vda, Center for Open Science.
    10. László Lőrincz & Guilherme Kenji Chihaya & Anikó Hannák & Dávid Takács & Balázs Lengyel & Rikard Eriksson, 2020. "Global Connections And The Structure Of Skills In Local Co-Worker Networks," CERS-IE WORKING PAPERS 2034, Institute of Economics, Centre for Economic and Regional Studies.
    11. Pinar Yildirim & Yanhao Wei & Christophe Bulte & Joy Lu, 2020. "Social network design for inducing effort," Quantitative Marketing and Economics (QME), Springer, vol. 18(4), pages 381-417, December.
    12. Ichinose, Genki & Tsuchiya, Tomohiro & Watanabe, Shunsuke, 2021. "Robustness of football passing networks against continuous node and link removals," Chaos, Solitons & Fractals, Elsevier, vol. 147(C).
    13. António Sérgio Ribeiro & Francisco Lima & Sascha Kraus & Ferran Calabuig, 2022. "Tournaments within football teams: players’ performance and wages," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 35(1), pages 4884-4901, December.
    14. Carlos Fernández-Loría & Maxime C. Cohen & Anindya Ghose, 2023. "Evolution of Referrals over Customers’ Life Cycle: Evidence from a Ride-Sharing Platform," Information Systems Research, INFORMS, vol. 34(2), pages 698-720, June.
    15. Ophelia Amo & Wisdom Akpalu & Daniel K. Twerefou & Godfred A. Bokpin, 2022. "Estimating the Economic Value of Health Walk on the Accra-Aburi Mountains Walkway in Ghana: An Individual Travel Cost Approach," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 9(1), pages 75-85, January.
    16. Rubén Maneiro & Claudio A Casal & Antonio Ardá & José Luís Losada, 2019. "Application of multivariant decision tree technique in high performance football: The female and male corner kick," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-16, March.
    17. Braun, Martin & Verdier, Valentin, 2023. "Estimation of spillover effects with matched data or longitudinal network data," Journal of Econometrics, Elsevier, vol. 233(2), pages 689-714.
    18. Albert Cohen & Jimmy Risk, 2023. "European Football Player Valuation: Integrating Financial Models and Network Theory," Papers 2312.16179, arXiv.org, revised Oct 2024.
    19. Filippo Radicchi, 2011. "Who Is the Best Player Ever? A Complex Network Analysis of the History of Professional Tennis," PLOS ONE, Public Library of Science, vol. 6(2), pages 1-7, February.
    20. Christos Ellinas & Christos Nicolaides & Naoki Masuda, 2022. "Mitigation strategies against cascading failures within a project activity network," Journal of Computational Social Science, Springer, vol. 5(1), pages 383-400, May.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:rpanxx:v:17:y:2017:i:6:p:822-831. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RPAN20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.