摘要
以复杂网络视角研究供应链企业合作关系。首先制定了供应链合作关系网络刻画规则,在规避外部因素不确定性基础上,利用节点自身结构属性,借助网络拓扑图、统计特征、中心性挖掘供应链企业合作网络存在的问题,然后结合链路预测中相似性分析构建了供应链企业合作伙伴关系预测模型,最后以某能源企业供应链为例来验证预测模型的适用性。通过实证分析证明了所提出的预测模型具有一定可行性和科学性,个别相似性指标精确度可达75%,甚至将优质指标耦合后的精确度高达80%。在复杂网络下研究供应链企业合作伙伴选择,为探究供应链网络的合作规律和动态变化过程提供可能性,同时对揭示供应链合作关系网络的整体宏观性质至关重要。
This paper studies the cooperative relationship of supply chain enterprises from the perspective of complex network.Firstly,the network depiction rules of the supply chain’s cooperative relationship are established.Based on avoiding the uncertainties of external factors,the problems of the supply enterprises cooperative network are explored by using the network topology,statistical features and centrality.Then,based on the similarity analysis in link prediction,this paper constructs a prediction model of the partnership of supply chain enterprises..At last,the supply chain of YP energy was taken as an example to verify the accuracy of the forecasting model.The empirical model shows that the proposed model has a certain feasibility and scientificity.The accuracy of the individual indexes of similarity can reach 75%,and even the accuracy ofhigh quality index after coupling can reach up to 80%.Research on the choice of supply chain enterprise partners in complex networks provides the possibility for exploring the cooperation law and dynamic change process of supply chain network,and it is very important to reveal the overall macro nature of supply chain’s cooperative network.
作者
王军进
刘家国
李竺珂
WANG Jun-jin;LIU Jia-guo;LI Zhu-ke(School of Maritime Economics and Management,Dalian Maritime University,Dalian 116026,China)
出处
《系统科学学报》
CSSCI
北大核心
2021年第3期110-115,130,共7页
Chinese Journal of Systems Science
基金
兴辽英才项目(XLYC1807097)。
关键词
复杂网络
合作
链路预测
相似性分析
complex network
cooperation
link prediction
similarity analysis