经济复杂网络的拓扑结构：来自爱沙尼亚大规模支付网络的经验证据
On the topologic structure of economic complex networks: Empirical evidence from large scale payment network of Estonia
摘要：
本文提出了第一个拓扑分析的经济结构的整个国家的支付数据的基础上从瑞典银行。这一数据集是独一无二的，因为爱沙尼亚大约80%的银行交易是通过瑞典银行完成的，因此，该国的经济结构可以重建。无标度网络通常在各种不同的环境中观察到，例如自然和社会。在本文中，节点由银行的客户（法人实体）组成，并通过这些节点之间的支付建立链接。我们研究这个网络的无标度和结构特性。我们还描述了它的拓扑结构，组件和行为。我们发现，该网络具有其他复杂网络中已知的典型结构特征：度分布遵循幂律，低聚类系数和低平均最短路径长度。我们确定了网络的关键节点，并使用两种不同的方法对节点的随机攻击和有针对性的攻击进行了弹性模拟。有了这一点，我们发现，通过识别和研究节点之间的联系是可能的，以执行爱沙尼亚经济的脆弱性分析经济冲击。
英文摘要：
This paper presents the first topological analysis of the economic structure of an entire country based on payments data obtained from Swedbank. This data set is exclusive in its kind because around 80% of Estonia's bank transactions are done through Swedbank, hence, the economic structure of the country can be reconstructed. Scale-free networks are commonly observed in a wide array of different contexts such as nature and society. In this paper, the nodes are comprised by customers of the bank (legal entities) and the links are established by payments between these nodes. We study the scaling-free and structural properties of this network. We also describe its topology, components and behaviors. We show that this network shares typical structural characteristics known in other complex networks: degree distributions follow a power law, low clustering coefficient and low average shortest path length. We identify the key nodes of the network and perform simulations of resiliency against random and targeted attacks of the nodes with two different approaches. With this, we find that by identifying and studying the links between the nodes is possible to perform vulnerability analysis of the Estonian economy with respect to economic shocks.
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。
