摘要翻译：
提出了一种基于链路的权重和方向以及节点的非拓扑性质来提取复杂网络主干的方法。我们展示了该方法如何在一般情况下应用于质量或能量沿着链路流动的网络。特别是，这一程序使我们能够解决经济学中的重要问题，即控制权和财富是如何在国家市场上结构和集中的。我们报道所有权网络的首次跨国调查，重点关注全球48个国家的股票市场。一方面，我们的分析证实了在有关公司控制权的文献基础上的预期结果，即在盎格鲁-撒克逊国家，控制权往往分散在众多股东之间。另一方面，它也揭示出，在同样的国家，控制权高度集中在全球一级，即掌握在极少数重要股东手中。有趣的是，欧洲国家的情况正好相反。这些结果以前没有报道过，因为如果没有这里开发的网络分析，它们是无法观察到的。
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英文标题：
《Backbone of complex networks of corporations: The flow of control》
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作者：
J.B. Glattfelder, S. Battiston
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最新提交年份：
2009
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分类信息：

一级分类：Quantitative Finance        数量金融学
二级分类：General Finance        一般财务
分类描述：Development of general quantitative methodologies with applications in finance
通用定量方法的发展及其在金融中的应用
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一级分类：Physics        物理学
二级分类：Physics and Society        物理学与社会
分类描述：Structure, dynamics and collective behavior of societies and groups (human or otherwise). Quantitative analysis of social networks and other complex networks. Physics and engineering of infrastructure and systems of broad societal impact (e.g., energy grids, transportation networks).
社会和团体（人类或其他）的结构、动态和集体行为。社会网络和其他复杂网络的定量分析。具有广泛社会影响的基础设施和系统（如能源网、运输网络）的物理和工程。
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英文摘要：
  We present a methodology to extract the backbone of complex networks based on the weight and direction of links, as well as on nontopological properties of nodes. We show how the methodology can be applied in general to networks in which mass or energy is flowing along the links. In particular, the procedure enables us to address important questions in economics, namely, how control and wealth are structured and concentrated across national markets. We report on the first cross-country investigation of ownership networks, focusing on the stock markets of 48 countries around the world. On the one hand, our analysis confirms results expected on the basis of the literature on corporate control, namely, that in Anglo-Saxon countries control tends to be dispersed among numerous shareholders. On the other hand, it also reveals that in the same countries, control is found to be highly concentrated at the global level, namely, lying in the hands of very few important shareholders. Interestingly, the exact opposite is observed for European countries. These results have previously not been reported as they are not observable without the kind of network analysis developed here.
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PDF链接：
https://arxiv.org/pdf/0902.0878