David-Barrett Tamas
Trinity College, University of Oxford, Oxford OX1 3BH, UK.
Population Studies Institute, Helsinki 00101, Finland.
R Soc Open Sci. 2023 Apr 26;10(4):230046. doi: 10.1098/rsos.230046. eCollection 2023 Apr.
Reputation-based cooperation on social networks offers a causal mechanism between graph properties and social trust. Using a simple model, this paper demonstrates the underlying mechanism in a way that is accessible to scientists not specializing in networks or mathematics. 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.
社交网络中基于声誉的合作提供了一种图形属性与社会信任之间的因果机制。本文使用一个简单的模型，以一种非网络或数学专业的科学家也能理解的方式展示了其潜在机制。本文表明，当网络的规模和度数固定时（即所有图形具有相同数量的主体，且所有主体具有相同数量的连接），正是聚类系数驱动了合作型社交网络差异的产生。
