论文标题
聚类推动在信誉网络上的合作，所有其他固定
Clustering Drives Cooperation on Reputation Networks, All Else Fixed
论文作者
论文摘要
基于声誉的社交网络合作提供了图形属性与社会信任之间的因果机制。关于社会的“结构性微观基础”的最新论文利用这种见解来展示人口过程（例如生育能力，城市化和移民）如何改变人类社会的逻辑。本文以科学家可以使用不专门研究网络的科学家可以访问的方式演示了基本机制。此外，本文表明，当固定网络的大小和程度时（即，所有图形都具有相同数量的代理，它们都具有相同数量的连接），正是聚类系数在合作社交网络的范围内引起了差异。
Reputation-based cooperation on social networks offers a causal mechanism between graph properties and social trust. Recent papers on the `structural microfoundations` of the society used this insight to show how demographic processes, such as falling fertility, urbanisation, and migration, can alter the logic of human societies. This paper demonstrates the underlying mechanism in a way that is accessible to scientists not specialising in networks. Additionally, the paper shows that, when the size and degree of the network is fixed (i.e., all graphs have the same number of agents, who all have the same number of connections), it is the clustering coefficient that drives differences in how cooperative social networks are.
