网络常识
Common Knowledge on Networks
摘要：
对意图的共同认识对于基本的社会任务至关重要，这些任务包括合作狩猎、寡头勾结、骚乱、革命以及社会规范和人类文化的演变。然而，关于常识如何在社交网络的动态中留下痕迹，人们知之甚少。在这里，我们展示了一个人的网络属性-主要是本地聚类和介数中心-提供了成功参与共同知识任务的能力的强烈信号。这些信号与当实践具有传染性时，或者当人们使用不太复杂的不产生真正协调的方法时所预期的信号不同。这使得从观察中推断决策规则成为可能。我们还发现，需要共同知识的任务可能会产生显著的成功不平等，而当实践仅通过传染传播时，结果相对平等。
英文摘要：
Common knowledge of intentions is crucial to basic social tasks ranging from cooperative hunting to oligopoly collusion, riots, revolutions, and the evolution of social norms and human culture. Yet little is known about how common knowledge leaves a trace on the dynamics of a social network. Here we show how an individual's network properties---primarily local clustering and betweenness centrality---provide strong signals of the ability to successfully participate in common knowledge tasks. These signals are distinct from those expected when practices are contagious, or when people use less-sophisticated heuristics that do not yield true coordination. This makes it possible to infer decision rules from observation. We also find that tasks that require common knowledge can yield significant inequalities in success, in contrast to the relative equality that results when practices spread by contagion alone.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
