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Updated: Apr 2, 2026
06:48
The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
9.9K
Research on team efficacy in CBA games based on complex network theory.
Weishuai Guo1, Rui Dong2, Tengfei Dong3
1College of Physical Education, Pingdingshan University, Pingdingshan, Henan Province, China.
Plos One
|March 31, 2026
Summary
Complex network theory reveals that structural balance significantly impacts basketball team resilience. Optimizing network structures enhances anti-destruction capabilities and competitive performance in professional basketball.
Area of Science:
- Sports Science
- Network Theory
- Data Analysis
Background:
- Understanding team dynamics is crucial for performance.
- Complex network theory offers a novel framework for analyzing team structures.
Purpose of the Study:
- To quantify the topological characteristics and anti-destruction resilience of Chinese Basketball Association (CBA) playoff teams.
- To examine the influence of network structure on team resilience.
Main Methods:
- Constructed similarity networks based on player performance indicators for 12 CBA playoff teams.
- Analyzed topological features: node degree, betweenness centrality, clustering coefficient, average path length.
- Assessed network robustness against random and deliberate attacks.
Main Results:
- Structural balance significantly influences team resilience.
- Liaoning Bensteel showed high connectivity and resilience (avg. node degree 11, clustering coeff. 0.83).
- Jiangsu Kendia exhibited vulnerability (clustering coeff. 0.74, avg. path length 1.17).
- High clustering coefficients correlate with close internal cooperation and efficient ball movement.
Conclusions:
- CBA teams can enhance resilience by improving network structure balance and node redundancy.
- Findings provide a scientific basis for basketball tactical planning and team management.
- Offers a new perspective on understanding and improving team organizational structure and performance.
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