Open AccessA multilevel hypernetworks approach to assess coordination and communication in player interactions in sports teams as co-evolutionary networks
Author(s) -
João Ribeiro,
Júlio Garganta,
Keith Davids,
Daniel Barreira
Publication year - 2020
Publication title -
brazilian journal of motor behavior/brazilian journal of motor behavior
Language(s) - English
Resource type - Journals
eISSN - 2446-4902
pISSN - 1980-5586
DOI - 10.20338/bjmb.v14i5.216
Subject(s) - perspective (graphical) , computer science , social network analysis , data science , social network (sociolinguistics) , competition (biology) , artificial intelligence , social media , world wide web , ecology , biology
BACKGROUND: This paper presents an introduction and brief appraisal of the use of hyper networks metrics and its potential practical application in examining team dynamics' coordination patterns collective sports.AIM: Throughout their critique piece, we highlighted that game analysis, including the hyper network concept, may help overcome the limitations of previous tools such as social network measures.FINDINGS AND CONCLUSIONS: While the social network analysis generally considers only dyadic interactions (e.g., between two players), the hyper networks also take into account a multidimensional perspective, including both player level and team level communication and coordination. We also evidenced that new studies using hyper network metrics are required in a range of team sports, mainly using data gathered from official competition matches.