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首页> 外文期刊>Physica, A. Statistical mechanics and its applications >Holding-based network of nations based on listed energy companies: An empirical study on two-mode affiliation network of two sets of actors
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Holding-based network of nations based on listed energy companies: An empirical study on two-mode affiliation network of two sets of actors

机译：控股公司基于上市能源公司的国家网络：两组参与者的双模式隶属关系网络的实证研究

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摘要

Economic networks in the real world are not homogeneous; therefore, it is important to study economic networks with heterogeneous nodes and edges to simulate a real network more precisely. In this paper, we present an empirical study of the one-mode derivative holding-based network constructed by the two-mode affiliation network of two sets of actors using the data of worldwide listed energy companies and their shareholders. First, we identify the primitive relationship in the two-mode affiliation network of the two sets of actors. Then, we present the method used to construct the derivative network based on the shareholding relationship between two sets of actors and the affiliation relationship between actors and events. After constructing the derivative network, we analyze different topological features on the node level, edge level and entire network level and explain the meanings of the different values of the topological features combining the empirical data. This study is helpful for expanding the usage of complex networks to heterogeneous economic networks. For empirical research on the worldwide listed energy stock market, this study is useful for discovering the inner relationships between the nations and regions from a new perspective. (C) 2016 Elsevier B.V. All rights reserved.
机译：现实世界中的经济网络不是同质的。因此，研究具有异构节点和边缘的经济网络以更精确地模拟真实网络非常重要。在本文中，我们使用全球上市的能源公司及其股东的数据，对由两组参与者的双模隶属关系网络构成的基于单模衍生品持有的网络进行了实证研究。首先，我们确定两组参与者的双模隶属关系网络中的原始关系。然后，我们根据两组参与者之间的股权关系以及参与者与事件之间的隶属关系，提出了一种用于构造衍生网络的方法。构建导数网络后，我们在节点级别，边缘级别和整个网络级别上分析了不同的拓扑特征，并结合经验数据解释了拓扑特征不同值的含义。这项研究有助于将复杂网络的使用范围扩展到异构经济网络。对于全球上市的能源股票市场的实证研究，该研究对于从新的视角发现国家与地区之间的内部关系很有用。 （C）2016 Elsevier B.V.保留所有权利。

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