摘要翻译：
从全球供应链网络的度分布、层次结构和度-度相关性三个方面研究了全球供应链网络的拓扑性质。全球供应链数据通过收集2018年标准普尔资本智商平台web站点的各类公司数据构建而成。入度分布和出度分布均服从幂律，入度指数=2.42，出度指数=2.11。聚类系数按幂律衰减，指数=0.46。结节度-度相关表明不存在匹配性。GWCC的蝴蝶结结构表明，外部成分最大，占企业总数的41.1%。GSCC部分占公司总数的16.4%。我们观察到，上游或下游的企业大多位于距离GSCC几步远的地方。此外，我们揭示了网络的社区结构，并根据其位置和行业分类对其进行了特征描述。我们观察到，最大的群体由消费自由支配部门组成，主要位于美国。这些企业属于全球供应链网络的蝴蝶结结构中的外部组成部分。最后，我们对全球供应链网络中的S1（短路径长度）、S2（幂律度分布）、S3（高聚类系数）、S4（“Fit-get-Freever”增长机制）、S5（幂律度分布的截断）和S7（边界重叠的社区结构）命题的有效性进行了验证。
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英文标题：
《Bow-tie structure and community identification of global supply chain
  network》
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作者：
Abhijit Chakraborty and Yuichi Ikeda
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最新提交年份：
2020
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分类信息：

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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一级分类：Economics        经济学
二级分类：General Economics        一般经济学
分类描述：General methodological, applied, and empirical contributions to economics.
对经济学的一般方法、应用和经验贡献。
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一级分类：Quantitative Finance        数量金融学
二级分类：Economics        经济学
分类描述：q-fin.EC is an alias for econ.GN. Economics, including micro and macro economics, international economics, theory of the firm, labor economics, and other economic topics outside finance
q-fin.ec是econ.gn的别名。经济学，包括微观和宏观经济学、国际经济学、企业理论、劳动经济学和其他金融以外的经济专题
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英文摘要：
  We study on topological properties of global supply chain network in terms of degree distribution, hierarchical structure, and degree-degree correlation in the global supply chain network. The global supply chain data is constructed by collecting various company data from the web site of Standard & Poor's Capital IQ platform in 2018. The in- and out-degree distributions are characterized by a power law with in-degree exponent = 2.42 and out-degree exponent = 2.11. The clustering coefficient decays as power law with an exponent = 0.46. The nodal degree-degree correlation indicates the absence of assortativity. The Bow-tie structure of GWCC reveals that the OUT component is the largest and it consists 41.1% of total firms. The GSCC component comprises 16.4% of total firms. We observe that the firms in the upstream or downstream sides are mostly located a few steps away from the GSCC. Furthermore, we uncover the community structure of the network and characterize them according to their location and industry classification. We observe that the largest community consists of consumer discretionary sector mainly based in the US. These firms belong to the OUT component in the bow-tie structure of the global supply chain network. Finally, we confirm the validity for propositions S1 (short path length), S2 (power-law degree distribution), S3 (high clustering coefficient), S4 ("fit-gets-richer" growth mechanism), S5 (truncation of power-law degree distribution), and S7 (community structure with overlapping boundaries) in the global supply chain network.
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PDF链接：
https://arxiv.org/pdf/2003.02343