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João Ribeiro, Júlio Garganta, Guilherme, José, Daniel Barreira, Silva, Pedro, Lopes, Rui J....Keith Davids (2022). Capturing bi-directional synergy formation in elite football teams through multilevel hypernetworks. World Congress on Science and Soccer 2022. 274-274

J. Ribeiro et al.,  "Capturing bi-directional synergy formation in elite football teams through multilevel hypernetworks", in World Congr. on Science and Soccer 2022, Coimbra, pp. 274-274, 2022

@null{ribeiro2022_1777129524464,
	year = "2022",
	url = "https://wcss2021.org/welcome/"
}

TY  - GEN
TI  - Capturing bi-directional synergy formation in elite football teams through multilevel hypernetworks
T2  - World Congress on Science and Soccer 2022
AU  - João Ribeiro
AU  - Júlio Garganta
AU  - Guilherme, José
AU  - Daniel Barreira
AU  - Silva, Pedro
AU  - Lopes, Rui J.
AU  - Keith Davids
PY  - 2022
SP  - 274-274
CY  - Coimbra
UR  - https://wcss2021.org/welcome/
AB  - Managing bi-directional synergy formation during competitive performance is of chief importance
as such co-existing processes allow enhancing team functionality (Ribeiro et al., 2019a).
Nevertheless, ascertaining the interplay of global-to-local and local-to-global self-organizing
tendencies is challenging as it requires the adoption of adequate tools and methods to assess
the complexity of interrelated levels (from micro-meso- macro levels). Therefore, our aim is to
provide a brief demonstration on how multilevel hypernetworks (Ribeiro et al., 2019b), a novel
and potent methodological approach, can be used to capture the bi- directional synergy
formation processes during competitive performance. The positional raw data (2D) of twenty-
eight male professional football players (22 starting players and 6 substitutes) was provided by
STATS. These data were acquired through a multiple-camera match analysis system from which
the movements of all 28 players performed during the match were recorded with the cameras
placed at the top of the stadium. The frames were processed at 1Hz using an automated system
that synchronized the video files. The effective playing area was 68m wide and 105m long. A
computer procedure for calculating the simplices’ hyperedges, set with the proximity-based
criteria, was conducted using GNU Octave version 4.4.1 and implemented to each frame of
the match. A visual representation of multilevel hypernetworks regarding four consecutive
frames of the match was used to verify variations in the number and types of simplices.
Variations in the number and types of simplices were observed and involved ongoing and
simultaneous changes in global topology (i.e., topological evolution) and local dynamics (through
players’ reorganization of team synergies). Multilevel hypernetworks seem to constitute an
adequate and sophisticated method for capturing the bi-directional synergy formation processes
in football teams.
ER  -