This paper investigates the evolution of cooperation and the emergence of hierarchical leadership structure in random regular graphs. It is found that there exist different learning patterns between cooperators and defectors, and cooperators are able to attract more followers and hence more likely to become leaders. Hence, the heterogeneous distributions of reputation and leadership can emerge from homogeneous random graphs. The important directed game-learning skeleton is then studied, revealing some important structural properties, such as the heavy-tailed degree distribution and the positive in-in degree correlation.

中文翻译：

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从随机正则图中出现的异质合作领导结构

本文研究了随机正则图中合作的演变和分层领导结构的出现。研究发现，合作者和叛逃者之间存在不同的学习模式，合作者能够吸引更多的追随者，因此更有可能成为领导者。因此，声誉和领导力的异质分布可以从同质随机图中出现。然后研究了重要的定向游戏学习骨架，揭示了一些重要的结构特性，例如重尾度分布和正向内度相关性。