Research on the Partnership between Supply Chain Enterprises Based on Complex Network

Junjian Wang
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Abstract

Under the perspective of complex networks, supply chain is abstracted as complex network which takes enterprise as node, and takes the relation between enterprises as edge. Taking energy supply chain (ESC) for example, this paper analyses the accuracy of prediction by combining with other seven real networks. The result shows that the predictive effect of half part information index is obviously better than the index of node part information and global information, the predictive effect among some individual global information index is higher while the accuracy are volatile; under the network with smaller cluster coefficient, the node part information has poor predictive effect but more stableness accuracy. Distinguish the accuracy of prediction clearly by comparing with seven real networks, which are to predict the “unknown links” and “future links” more accurately.
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基于复杂网络的供应链企业伙伴关系研究
在复杂网络的视角下,将供应链抽象为以企业为节点,以企业之间的关系为边缘的复杂网络。以能源供应链(ESC)为例,结合其他七个实际网络,分析了预测的准确性。结果表明:半部分信息索引的预测效果明显优于节点部分信息索引和全局信息索引,个别全局信息索引之间的预测效果较高,但精度不稳定;在聚类系数较小的网络下,节点部分信息的预测效果较差,但稳定性精度较高。通过与7个真实网络的对比,明确区分预测的准确性,更准确地预测“未知环节”和“未来环节”。
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