Abstract Communities of nodes are one of the most important meso structures in a network. In static networks they are essentially characterized by the nodes they hold, how modular they are and how they connect to other communities. Once identified, they do not change. In networks that evolve over time, communities can shed and acquire new nodes. This generates new constructs and raises the question of community identity, and of the characterization of the events that define their lifecycle. Although researchers have devoted efforts to address some of these questions, we believe that a formalized classification and a principled method to identify community events is still lacking. In this paper we propose such a classification in the form of a robust taxonomy, supported by a similarity metric based on the Jaccard index but adjusted to chance, and a set of rules that unequivocally can track a community journey from ”cradle to grave”.

中文翻译：

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时间网络中的社区身份：分类建议

摘要 节点社区是网络中最重要的中观结构之一。在静态网络中，它们的本质特征在于它们拥有的节点、它们的模块化程度以及它们如何连接到其他社区。一旦确定，它们就不会改变。在随时间演变的网络中，社区可以摆脱和获取新节点。这产生了新的结构并提出了社区身份的问题，以及定义其生命周期的事件的特征。尽管研究人员已经致力于解决其中一些问题，但我们认为仍然缺乏正式的分类和确定社区事件的原则方法。在本文中，我们以稳健分类法的形式提出了这样的分类，由基于 Jaccard 指数的相似性度量支持，但根据机会进行了调整，