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Updated: Jul 13, 2026

The HoneyComb Paradigm for Research on Collective Human Behavior

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

Complex network study of Asian Go players.

Xinping Xu¹, Junhui Hu, Feng Liu

¹Institute of Particle Physics, HuaZhong Normal University, Wuhan 430079, China.

Chaos (Woodbury, N.Y.)

|July 7, 2007

Summary

The Asian Go player network exhibits small-world properties and a rich-club phenomenon, indicating skilled players are highly interconnected. Network analysis reveals insights into competition dynamics and player interactions in Go tournaments.

Area of Science:

Network Science
Complex Systems
Game Theory

Background:

Go tournaments can be modeled as directed networks.
Understanding player competition dynamics is crucial.

Purpose of the Study:

Analyze the topological structure of the Asian Go player network.
Investigate network properties like small-world and rich-club phenomena.
Examine weighted network characteristics and temporal evolution.

Main Methods:

Network construction from 756 Asian Go players and 9473 tournaments.
Topological analysis of network structure.
Analysis of weighted network properties (weights and strengths).
Study of the network's time evolution.

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Main Results:

The Go player network demonstrates small-world properties.
A significant rich-club phenomenon was observed, with high-degree players being interconnected.
Network weights follow power-law distributions; strengths follow stretched exponential distributions.
Time evolution analysis provided insights into network dynamics.

Conclusions:

The Asian Go player network exhibits complex topological features.
These findings enhance understanding of competition structures in skill-based networks.
The study offers a quantitative framework for analyzing player interactions in Go.