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作者:

Zhao, Dequn (Zhao, Dequn.)

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CPCI-S EI Scopus

摘要:

In this paper, we analyze the characteristics of supply chain network based on the traditional complex network local-world evolving model. Through the study of the characteristics of supply chain network, found that the node uniform arrival process in traditional model is not adapted to the supply chain network model, so we use the Poisson distribution model. Using the correlation degree based on the distance between nodes we build a local world of each node in the network. Through the expression of the degree distribution, cluster coefficient and the average path length we find that these network model characteristics like scale-free a small-world Finally, this paper using the modeling procedures, as well as network analysis software for improving the local-world evolving model empirical research, analyze the advantages of the complex network in the supply chain and outlook a complex network in the supply chain application prospects.

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作者机构:

  • [ 1 ] Beijing Univ Technol, Sch Elect Informat & Control Engn, Beijing, Peoples R China

通讯作者信息:

  • [Zhao, Dequn]Beijing Univ Technol, Sch Elect Informat & Control Engn, Beijing, Peoples R China

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来源 :

2009 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, VOL II, PROCEEDINGS

年份: 2009

页码: 172-175

语种: 英文

被引次数:

WoS核心集被引频次: 2

SCOPUS被引频次:

ESI高被引论文在榜: 0 展开所有

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