世界贸易网络中的通信能力——社区检测的新视角（Social and Information Networks）

• 2020 年 1 月 20 日
• 筆記

网络中的社区检测在经济和金融环境中起着至关重要的作用，特别是在应用于世界贸易网络时。我们提供了一个新的视角，在这个视角中，通过一个特定的距离标准来识别相互作用强烈的国家集群。我们指的是埃斯特拉达的沟通距离和振动的沟通距离，特别适合捕捉经济网络的内部结构。该方法基于一个变化的距离阈值，从计算的角度来看是有效的。它还允许检查簇间和胞内的性质产生的社区。数值分析突出了国家之间的特殊关系，并提供了一套丰富的信息，这些信息很难用其他的聚类方法来实现。

原文题目：Social and Information Networks：Communicability in the World Trade Network — A new perspective for community detection

原文：Community detection in a network plays a crucial role in the economic and financial contexts, specifically when applied to the World Trade Network. We provide a new perspective in which clusters of strongly interacting countries are identified by means of a specific distance criterion. We refer to the Estrada communicability distance and the vibrational communicability distance, which turn out to be particularly suitable for catching the inner structure of the economic network. The methodology is based on a varying distance threshold and it is effective from a computational point of view. It also allows an inspection of the intercluster and intracluster properties of the resulting communities. The numerical analyses highlight peculiar relationships between countries and provide a rich set of information that can hardly be achieved within alternative clustering approaches.

原文作者：Paolo Bartesaghi,Gian Paolo Clemente,Rosanna Grassi

原文链接：https://arxiv.org/abs/2001.06356