Using network metrics in soccer: A macro-analysis

Journal of Human Kinetics

Volumn 45, Issue 1, 2015, Pages 123-134

  Clemente, Filipe Manuel ^a,b   Couceiro, Micael Santos ^c   Martins, Fernando Manuel Lourenço ^a,d   Mendes, Rui Sousa ^a  

^a POLYTECHNIC INSTITUTE OF COIMBRA   (Portugal)

^b UNIVERSITY OF COIMBRA   (Portugal)

^c Lda Ltd   (Portugal)

^d INSTITUTO DE TELECOMUNICAÇÕES   (Portugal)

Author keywords

Game analysis; Metrics; Network; Soccer

Indexed keywords

EID: 84927724320     PISSN: 16405544     EISSN: 18997562     Source Type: Journal    
DOI: 10.1515/hukin-2015-0013     Document Type: Article

References (29)

1. Albert R, Jeong H, Barabasi AL. Error and attack tolerance of complex networks. Nature, 2010; 406: 378-382
2. Balkundi P, Harrison D. Ties, leaders, and time in teams: strong inference about network structure's effects on team viability and performance. Acad Manage J, 2006; 49: 49-68
3. Bourbousson J, Poizat G, Saury J, Seve C. Team Coordination in Basketball: Description of the Cognitive Connections Among Teammates. J Appl Sport Psychol, 2010; 22: 150-166
4. Clemente FM, Couceiro MS, Martins FM, Mendes R. An Online Tactical Metrics Applied to Football Game. Res J Appl Sci Eng Technol, 2013; 5: 1700-1719
5. Clemente FM, Couceiro MS, Martins FML, Mendes RS. Using network metrics to investigate football team players' connections: A pilot study. Motriz, 2014; 20: 262-271
6. Cotta C, Mora AM, Merelo JJ, Merelo-Molina C. A network analysis of the 2010 FIFA World Cup champion team play. J Syst Sci Complex, 2013; 26: 21-42
7. Couceiro MS, Clemente FM, Martins FM. Towards the Evaluation of Research Groups based on Scientific Co-authorship Networks: The RoboCorp Case Study. Arab Gulf J Sci Res, 2013; 31: 36-52
8. Cummings JN, Cross R. Structural properties of work groups and their consequences for performance. Soc Networks, 2003; 25: 197-210
9. Duarte R, Araújo D, Correia V, Davids K. Sports Teams as Superorganisms: Implications of Sociobiological Models of Behaviour for Research and Practice in Team Sports Performance Analysis. Sports Med, 2012; 42: 633-642
10. Duch J, Waitzman JS, Amaral LA. Quantifying the Performance of Individual Players in a Team Activity. PLoS ONE, 2010; 5: e10937
11. Estrada E. Edge adjacency relationships in molecular graphs containing heteroatoms: A new topological index related to molecular volume. J Chem Inf Comp Sci, 1995; 35: 701-707
12. th Design Automation Conference, IEEE. Schenectady, NY, 175-181; 1982
13. Fortunato S. Community detection in graphs. Phys Rep, 2010; 486: 75-174
14. Grehaigne JF, Bouthier D, David B. Dynamic-system analysis of opponent relationships in collective actions in soccer. J Sport Sci, 1997; 15: 137-149
15. Grund TU. Network structure and team performance: The case of English Premier League soccer teams. Soc Networks, 2012; 34: 682-690
16. Grunz A, Memmert D, Perl J. Analysis and Simulation of Actions in Games by Means of Special Self-Organizing Maps. Int J Comp Sci Sport, 2009; 8: 22-36
17. Grunz A, Memmert D, Perl J. Tactical pattern recognition in football games by means of special self-organizing maps. Hum Movement Sci, 2012; 31: 334-343
18. Hespanha JP. An efficient MATLAB Algorithm for Graph Partitioning. University of California; 2004
19. Horvath S. Weighted Network Analysis: Applications in Genomics and Systems Biology. New York: Springer; 2011
20. Lago-Peñas C, Dellal A. Ball possession strategies in elite soccer according to the evolution of the match-score: the influence of situational variables. J Hum Kinet, 2010; 25: 93-100
21. Lim C, Bohacek S, Hespanha J, Obraczka K. Hierarchical Max-Flow Routing. Global Telecommunications Conference - GLOBECOM '05 IEEE. Los Angeles, CA; 2005
22. Malta P, Travassos B. Characterization of the defense-attack transition of a soccer team. Motricidade, 2014; 10: 27-37
23. Memmert D, Perl J. Game creativity analysis using neural networks. J Sport Sci, 2009; 27: 139-149
24. Passos P, Davids K, Araújo D, Paz N, Minguéns J, Mendes J. Networks as a novel tool for studying team ball sports as complex social systems. J Sci Med Sport, 2011; 14: 170-176
25. Peña JL, Touchette H. A network theory analysis of football strategies. In Clanet C (Ed.), Sports Physics: Proc. 2012 Euromech Physics of Sports Conference. Palaiseau, Editions de l'Ecole Polytechnique, 517-528; 2012
26. Salas E, Dickinson TL, Converse SA, Tannenbaum SI. Toward an understanding of team performance and training. In Teams: Their training and performance. Eds Swezey RW, Salas E. Norwood, NJ: Ablex, 3-29; 1992
27. Wasserman S, Faust K. Social network analysis: Methods and applications. New York, USA: Cambridge university press; 1994
28. Watts DJ. A simple model of global cascades on random networks. Proceedings of the National Academy of Sciences of the United States of America, 2002; 99: 5766-5771
29. Wu M. wgPlot-Weighted Graph Plot. MatLab Central File Exchange. Obtido em 10 de January de 2012, de http://www.mathworks.com/matlabcentral/fileexchange/24035; 2009