The Research of Single_Node Risk Spread in Supply Chain Complex Network Based on Fixed Risk Values

Y. Chiew, Yachao Shi
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Abstract

Complex networks cannot only describe the complicated, asynchronous system, but also can be used to model and analyze network topological properties. Sophisticated methods for network construction and analysis exist in other fields. But until recently, researchers have few focused on the risk spread of a supply chain network. In this paper, a supply chain risk network based on single_node risk spread is modeled and the static network statistics are analyzed, including degree distribution, risk distribution, average path length and clustering coefficient. The simulation results indicate that supply chain complex network is a small-world network with short average path length and high degree of clustering, and its degree distribution and risk distribution follow a double power law. In addition, the average risk tends to decrease with the total number of risk node increase in supply chain risk spread network.
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基于固定风险值的供应链复杂网络单节点风险扩散研究
复杂网络不仅可以描述复杂的、异步的系统,而且可以用来对网络拓扑特性进行建模和分析。在其他领域也存在复杂的网络构建和分析方法。但直到最近,研究人员还很少关注供应链网络的风险扩散。本文建立了基于单节点风险扩散的供应链风险网络模型,并对网络的静态统计进行了分析,包括度分布、风险分布、平均路径长度和聚类系数。仿真结果表明,供应链复杂网络是平均路径长度短、聚类程度高的小世界网络,其度分布和风险分布服从双幂律。此外,在供应链风险扩散网络中,随着风险节点总数的增加,平均风险有降低的趋势。
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International Journal of Computer Science and Applications
International Journal of Computer Science and Applications Computer Science-Computer Science Applications
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期刊介绍: IJCSA is an international forum for scientists and engineers involved in computer science and its applications to publish high quality and refereed papers. Papers reporting original research and innovative applications from all parts of the world are welcome. Papers for publication in the IJCSA are selected through rigorous peer review to ensure originality, timeliness, relevance, and readability.
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