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- W2896912559 abstract "This paper firstly defines the importance index of several types of nodes from the local and global attributes of the supply chain network, analyzes the propagation effect of the nodes after the risk is generated from the perspective of the network topology, and forms multidimensional structural attributes that describe node risk propagation capabilities of the supply chain network. Then the indicators of the structure attributes of the supply chain network are simplified based on PCA (Principal Component Analysis). Finally, a risk assessment model of node risk propagation is constructed using BP neural network. This paper also takes 4G smart phone industry chain data as an example to verify the validity of the proposed model." @default.
- W2896912559 created "2018-10-26" @default.
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- W2896912559 date "2018-08-02" @default.
- W2896912559 modified "2023-09-25" @default.
- W2896912559 title "Node Risk Propagation Capability Modeling of Supply Chain Network based on Structural Attributes" @default.
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- W2896912559 doi "https://doi.org/10.1145/3271972.3271973" @default.
- W2896912559 hasPublicationYear "2018" @default.
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