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06:48
The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
Common and unique network dynamics in football games
Yuji Yamamoto1, Keiko Yokoyama
1Research Center of Health, Physical Fitness and Sports, Nagoya University, Chikusa, Nagoya, Japan. yamamoto@htc.nagoya-u.ac.jp
Plos One
|January 5, 2012
Summary
Football games exhibit network properties similar to other complex systems, with players forming dynamic networks. Analysis reveals a power law in passing behavior, indicating self-organization and resilience in team sports networks.
Area of Science:
- Network Science
- Sports Analytics
- Complex Systems
Background:
- Football involves two teams of eleven players interacting dynamically.
- Complex networks often display small-world and scale-free properties.
- Human movement patterns in real-world networks remain under-investigated.
Purpose of the Study:
- To investigate the network dynamics of football games.
- To analyze player passing behavior using network models.
- To compare football network properties with other large-scale networks.
Main Methods:
- Represented football players as vertices and passes as links.
- Analyzed passing data from the 2006 FIFA World Cup Final and an international match.
- Applied network analysis to study degree distribution and hub player dynamics.
Main Results:
- Observed a power law in degree distribution for passing behavior (exponent γ ~ 3.1).
- Identified stochastically switched dynamics of hub players during games.
- Found similarities to other real-world networks but unique dynamic features.
Conclusions:
- Football exhibits common network properties like power-law distributions, suggesting self-organization.
- Dynamic hub player switching is a unique feature of football networks.
- Findings offer insights into network resilience applicable to biological and communication systems.
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