Physics – Data Analysis – Statistics and Probability
Scientific paper
2006-06-30
Physics
Data Analysis, Statistics and Probability
6 pages, 8 figures, Research Program for Undergraduate in USTC
Scientific paper
Naming Game is a recently proposed model for describing how a multi-agent system can converge towards a consensus state in a self-organized way. In this paper, we investigate this model on the so-called homogeneous small-world networks and focus on the influence of the triangular topology on the dynamics. Of all the topological quantities, the clustering coefficient is found to play a significant role in the dynamics of the Naming Game. On the one hand, it affects the maximum memory of each agent; on the other hand, it inhibits the growing of clusters in which agents share a common word, i.e., a larger clustering coefficient will cause a slower convergence of the system. We also find a quantitative relationship between clustering coefficient and the maximum memory.
Lin Bo-Yu
Ren Jie
Wang Bing-Hong
Yang Hui-jie
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