标题： 从维基百科编辑数据中得出的社会群体规模的因果证据 显示英文标题

标题： Causal evidence for social group sizes from Wikipedia editing data

摘要： 人类社区具有自组织特性，在这些特性中，特定的邓巴数字可能被用来解释群体的依附性。 通过分析跨广泛主题页面的维基百科编辑历史，我们发现临时形成的编辑主题文本内容的群体规模存在一种涌现的一致性，有两个峰值，分别平均约为$N=8$，对应最大冲突的规模，以及约为$N=4$的常规团队规模。 这些数值与观察到的对话群体的大小以及邓巴图的分层结构一致。 我们使用双极信任的承诺理论模型，推导出一个符合数据的尺度定律，当基于对种子群体过程的吸引力时，该定律可能适用于所有群体规模分布。 除了进一步证明即使是陌生人自发形成的社区也是自组织的之外，这些结果对于维基百科公共资源的治理以及所有在线社交平台和协会的安全性都有重要的意义。 显示英文摘要

摘要： Human communities have self-organizing properties in which specific Dunbar Numbers may be invoked to explain group attachments. By analyzing Wikipedia editing histories across a wide range of subject pages, we show that there is an emergent coherence in the size of transient groups formed to edit the content of subject texts, with two peaks averaging at around $N=8$ for the size corresponding to maximal contention, and at around $N=4$ as a regular team. These values are consistent with the observed sizes of conversational groups, as well as the hierarchical structuring of Dunbar graphs. We use the Promise Theory model of bipartite trust to derive a scaling law that fits the data and may apply to all group size distributions, when based on attraction to a seeded group process. In addition to providing further evidence that even spontaneous communities of strangers are self-organizing, the results have important implications for the governance of the Wikipedia commons and for the security of all online social platforms and associations.