[1]ZHANG Xuelong,WANG Junjin.On the evolution cooperation mechanism of energy supply chain networks under link prediction[J].CAAI Transactions on Intelligent Systems,2017,12(2):221-228.[doi:10.11992/tis.201605003]
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
12
Number of periods:
2017 2
Page number:
221-228
Column:
学术论文—智能系统
Public date:
2017-05-05
- Title:
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On the evolution cooperation mechanism of energy supply chain networks under link prediction
- Author(s):
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ZHANG Xuelong; WANG Junjin
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School of Business, Guilin University of Electronic Technology, Guilin 541004, China
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- Keywords:
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supply chain network; cooperation evolution; link prediction; network structure; energy supply chain; similarity index; accuracy; coupling
- CLC:
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TP391;F273
- DOI:
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10.11992/tis.201605003
- Abstract:
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Using attribute information of a given network structure or nodes of a supply chain to predict the possibility of cooperation with an unlinked enterprise is key to link prediction being applied to supply chain networks. As such, we predicted side-connected evolutions of network cooperation in energy supply chains by utilizing a theoretical framework and evaluation method for link prediction and five similarity indexes. Our results show that when the attribute of the network structure of a supply chain is used as a single similarity index, the predictive effect of the RWR index is the best. Further, the prediction accuracy of the coupling index is remarkably higher than the single index. Here, the coupling effect between the RWR index and the Katz index is superior to the coupling effects between RWR and CN, PA and LP index. Further, the RWR index plays a leading role in the coupling algorithm. Compared with directly setting up a model for network evolution, link prediction is more effective in analyzing the cooperation evolution mechanism of supply chain networks.