We show how important phenomena in social networks like coordination, trust and the communication of unsubstantiated information (gossip) can be modelled and understood using epistemic networks or epinets: directed graphs comprising networked agents and the key facts, statements or other kinds of propositional beliefs relevant to their actions. We use epinets to sharpen the explanatory and reach of social network analysis to situations problematic to both network-structural approaches and epistemic game theory.

中文翻译：

---

认知网络

我们展示了如何使用认知网络或Epinet来建模和理解社交网络中的重要现象，例如协调，信任和未经证实的信息（八卦）的沟通：包含网络代理的有向图以及与之相关的关键事实，陈述或其他种类的主张信念他们的行动。对于网络结构方法和认知博弈论都存在问题的情况，我们使用Epinet来加强社交网络分析的解释和范围。