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Peering into the Dynamics of Social Interactions: Measuring Play Fighting in Rats
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Passing Network Analysis of Positional Attack Formations in Handball.

Florian Korte1,2, Martin Lames2

  • 1Center for Digital Technology and Management (CDTM), Munich, Germany.

Journal of Human Kinetics
|January 10, 2020
PubMed
Summary

Social network analysis reveals handball team dynamics, identifying backcourt players as key to structuring play across formations. This method effectively quantizes player contributions and team interplay, enhancing tactical understanding.

Keywords:
centrality measuresperformance analysissocial network analysistactical analysisteam sportstemporal networks

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Area of Science:

  • Sports Science
  • Network Science
  • Biomechanics

Background:

  • Handball relies heavily on passing for offensive strategy and goal scoring.
  • Tactical formations in handball vary due to game situations like player suspensions or offensive player substitutions.
  • Understanding player interactions within different formations is crucial for tactical analysis.

Purpose of the Study:

  • To characterize handball team dynamics using social network analysis (SNA).
  • To investigate player interaction patterns and individual involvement across various tactical formations.
  • To quantify player contributions to team organization and interplay balance.

Main Methods:

  • Analysis of 22 professional handball matches from the 2018 European Men's Handball Championship.
  • Application of social network analysis metrics including degree and flow centrality, density, and centralization.
  • Comparison of player involvement and interaction patterns across different offensive formations (e.g., 7 vs. 6, 5+1 vs. 6).

Main Results:

  • Backcourt players were identified as central to structuring team interplay across all tactical formations.
  • Offensive formations without a goalkeeper (7 vs. 6, 5+1 vs. 6) showed distinct interaction patterns compared to standard play (6).
  • Wing player involvement differed significantly across formations, with the additional pivot in 7 vs. 6 primarily creating space for back players.

Conclusions:

  • Social network analysis is a suitable method for quantifying and governing team dynamics in handball.
  • Player roles and interactions are significantly influenced by tactical formations, particularly those involving player-advantage situations.
  • The study provides insights into the strategic importance of backcourt players and the nuanced use of offensive formations.