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Ramos, J., Lopes, R. J. & Araújo, D. (2018). What’s next in complex networks? Capturing the concept of attacking play in invasive team sports. Sports Medicine. 48 (1), 17-28

J. P. Ramos et al.,  "What’s next in complex networks? Capturing the concept of attacking play in invasive team sports", in Sports Medicine, vol. 48, no. 1, pp. 17-28, 2018

@article{ramos2018_1732510960864,
	author = "Ramos, J. and Lopes, R. J. and Araújo, D.",
	title = "What’s next in complex networks? Capturing the concept of attacking play in invasive team sports",
	journal = "Sports Medicine",
	year = "2018",
	volume = "48",
	number = "1",
	doi = "10.1007/s40279-017-0786-z",
	pages = "17-28",
	url = "https://link.springer.com/article/10.1007%2Fs40279-017-0786-z"
}

TY  - JOUR
TI  - What’s next in complex networks? Capturing the concept of attacking play in invasive team sports
T2  - Sports Medicine
VL  - 48
IS  - 1
AU  - Ramos, J.
AU  - Lopes, R. J.
AU  - Araújo, D.
PY  - 2018
SP  - 17-28
SN  - 0112-1642
DO  - 10.1007/s40279-017-0786-z
UR  - https://link.springer.com/article/10.1007%2Fs40279-017-0786-z
AB  - The evolution of performance analysis within sports sciences is tied to technology development and practitioner demands. However, how individual and collective patterns self-organize and interact in invasive team sports remains elusive. Social network analysis has been recently proposed to resolve some aspects of this problem, and has proven successful in capturing collective features resulting from the interactions between team members as well as a powerful communication tool. Despite these advances, some fundamental team sports concepts such as an attacking play have not been properly captured by the more common applications of social network analysis to team sports performance. In this article, we propose a novel approach to team sports performance centered on sport concepts, namely that of an attacking play. Network theory and tools including temporal and bipartite or multilayered networks were used to capture this concept. We put forward eight questions directly related to team performance to discuss how common pitfalls in the use of network tools for capturing sports concepts can be avoided. Some answers are advanced in an attempt to be more precise in the description of team dynamics and to uncover other metrics directly applied to sport concepts, such as the structure and dynamics of attacking plays. Finally, we propose that, at this stage of knowledge, it may be advantageous to build up from fundamental sport concepts toward complex network theory and tools, and not the other way around.
ER  -