摘要翻译：
世界经济的大规模组织正日益表现出地方的异质性和全球的相互依赖性。要了解地方特征和全球特征之间的关系，就需要能够揭示国际贸易网络的全球新兴组织的分析工具。在这里，我们分析双边贸易不平衡的世界网络，并描述其总体通量组织，解开界定贸易系统主干的地方和全球高通量路径。我们制定了一个通用程序，能够以一致和定量的方式逐步过滤掉占主导地位的贸易渠道。该过程是完全通用的，可以应用于任何加权网络来检测传输流的底层结构。世界贸易网的贸易流量特性决定了突出全球相互依存关系的贸易伙伴关系排名，提供了通过简单的地方分析无法获得的信息。目前的工作提供了一个新的定量工具，以动态的方法来研究经济危机的传播。
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英文标题：
《Patterns of dominant flows in the world trade web》
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作者：
M. Angeles Serrano, Marian Boguna, and Alessandro Vespignani
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最新提交年份：
2007
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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：Disordered Systems and Neural Networks        无序系统与神经网络
分类描述：Glasses and spin glasses; properties of random, aperiodic and quasiperiodic systems; transport in disordered media; localization; phenomena mediated by defects and disorder; neural networks
眼镜和旋转眼镜；随机、非周期和准周期系统的性质；无序介质中的传输；本地化；由缺陷和无序介导的现象；神经网络
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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：
  The large-scale organization of the world economies is exhibiting increasingly levels of local heterogeneity and global interdependency. Understanding the relation between local and global features calls for analytical tools able to uncover the global emerging organization of the international trade network. Here we analyze the world network of bilateral trade imbalances and characterize its overall flux organization, unraveling local and global high-flux pathways that define the backbone of the trade system. We develop a general procedure capable to progressively filter out in a consistent and quantitative way the dominant trade channels. This procedure is completely general and can be applied to any weighted network to detect the underlying structure of transport flows. The trade fluxes properties of the world trade web determines a ranking of trade partnerships that highlights global interdependencies, providing information not accessible by simple local analysis. The present work provides new quantitative tools for a dynamical approach to the propagation of economic crises.
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PDF链接：
https://arxiv.org/pdf/0704.1225