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06:48
The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
Basketball teams as strategic networks
Jennifer H Fewell1, Dieter Armbruster, John Ingraham
1School of Life Sciences, Arizona State University, Tempe, Arizona, USA. j.fewell@asu.edu
Plos One
|November 10, 2012
Summary
Network analysis of NBA games reveals team offensive strategies. Clustering and network entropy were most associated with team advancement in the 2010 playoffs, showcasing the utility of network approaches.
Area of Science:
- Sports analytics
- Network science
- Quantitative analysis of team dynamics
Background:
- Basketball team dynamics and offensive strategies are complex.
- Quantifying team strategy and its relation to success is challenging.
Purpose of the Study:
- To analyze NBA playoff games as networks to capture team dynamics and offensive strategies.
- To determine if network properties can differentiate team offensive strategies and predict success.
Main Methods:
- Modeled NBA 2010 playoff games as networks, with players as nodes and ball movements as links.
- Analyzed network properties including degree centrality, clustering, entropy, and flow centrality.
- Quantified offensive strategies based on ball movement patterns (uphill/downhill flux) and unpredictability (entropy).
Main Results:
- Basketball networks generally show centralized ball distribution with the point guard as a key node.
- Individual teams exhibited variations in player involvement and ball distribution, reflected in clustering and degree centrality.
- Clustering (player connectedness) and network entropy (ball movement unpredictability) showed the strongest association with team advancement.
Conclusions:
- Network analysis provides a quantitative method to assess team offensive strategies in basketball.
- Specific network metrics like clustering and entropy can offer insights into team performance and advancement.
- Basketball networks serve as a rich dataset for exploring the interplay between network structure, team dynamics, and effectiveness.
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