Supply chain structure of global enterprises tend to develop dramatically. These lead to more difficulty for enterprises in managing and building information sharing systems. Thus, it is a necessary for enterprises to limit the scope of the information sharing system by selecting essential partners. The aims of this study are to quantify the cooperation of each supply chain member, and evaluate and visualize their effects in information sharing systems in order to support policymakers in making their decisions in supply chain management. The network analytical method in network science is applied to indicate the relationship between supply chain members and present a comprehensive supply chain visually. Moreover, Motor Corporation’s topology in Japan is used as a representation of global enterprise features to analyze the relationships between supply chain members. The data for Motor Corporation is secondary data which includes the number of suppliers, manufacturers, and dealers, and the interaction among them. Data is collected and verified from reputable websites such as www.marklines.com, or www.statista.com. As a result, this study contributes by applying a new method for not only determining the impact levels of supply chain members but also giving visual descriptions of impact levels on the large-scale information sharing system.

中文翻译：

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全球供应链成员的网络互动

全球企业的供应链结构趋于急剧发展。这给企业管理和构建信息共享系统带来了更大的困难。因此，企业有必要通过选择必要的合作伙伴来限制信息共享系统的范围。本研究的目的是量化每个供应链成员的合作，并评估和可视化他们在信息共享系统中的影响，以支持决策者在供应链管理中做出决策。应用网络科学中的网络分析方法来表示供应链成员之间的关系，并直观地呈现一个全面的供应链。而且，日本汽车公司的拓扑结构被用作全球企业特征的表示，以分析供应链成员之间的关系。Motor Corporation 的数据是二级数据，包括供应商、制造商和经销商的数量以及它们之间的相互作用。数据是从知名网站（例如 www.marklines.com 或 www.statista.com）收集和验证的。因此，本研究通过应用一种新方法做出贡献，该方法不仅可以确定供应链成员的影响级别，还可以直观地描述对大规模信息共享系统的影响级别。数据是从知名网站（例如 www.marklines.com 或 www.statista.com）收集和验证的。因此，本研究通过应用一种新方法做出贡献，该方法不仅可以确定供应链成员的影响级别，还可以直观地描述对大规模信息共享系统的影响级别。数据是从知名网站（例如 www.marklines.com 或 www.statista.com）收集和验证的。因此，本研究通过应用一种新方法做出贡献，该方法不仅可以确定供应链成员的影响级别，还可以直观地描述对大规模信息共享系统的影响级别。