基于产业互联网络节点创新要素的链路预测方法  

Link prediction method based on nodal innovation elements of industrialinterconnection network

作　　者：何建佳[1] 廖耀文 周洋 He Jianjia;Liao Yaowen;Zhou Yang(Business School,University of Shanghai for Science&Technology,Shanghai 200093,China)

机构地区：[1]上海理工大学管理学院,上海200093

出　　处：《计算机应用研究》2023年第10期3028-3031,3046,共5页Application Research of Computers

基　　金：国家自然科学基金面上项目(71871144);上海理工大学科技发展项目(2020KJFZ046)。

摘　　要：产业互联网络是一种为“智造”赋能的异质跨界合作网络,会促进创新要素在节点间流通,而节点创新要素又会影响合作链路预测结果。针对这一问题,提出一种基于节点创新要素的链路预测方法。首先阐述产业互联网络的概念和特性,分析网络中创新要素的流通方式;然后分别从两个维度测算网络节点的创新要素量;最后综合利用节点局部信息和节点创新要素信息计算节点相似性。在四个产业互联网络数据集的实验结果表明,所提方法与其他方法相比具有更好的预测性能。Industrial interconnection network is heterogeneous cross-border cooperation network that empower“intelligent manufacturing”and facilitate the flow of innovation elements between nodes,which in turn influence the predicted outcomes of the cooperation links.This paper proposed a link prediction method based on node innovation elements to address this issue.Firstly,it elaborated the concept and characteristics of industrial interconnection networks,and analyzed the circulation me-thods of innovative elements in the network.Secondly,it calculated the innovation factor quantity of network nodes from two dimensions separately.Finally,it comprehensively utilized the local information of nodes and the innovative element information of nodes to calculate the similarity between nodes.The experimental results on four industrial interconnection network datasets show that the proposed method has better predictive performance compared to other methods.

关 键 词：产业互联网络 节点创新要素 链路预测 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]