化工进展2018，Vol.37Issue(2)：444-451,8.DOI:10.16085/j.issn.1000-6613.2017-0985
基于复杂网络的化工过程层次符号有向图模型建立及关键节点识别
AHP-SDG model establishment and key node identification of chemical process system based on complex network
摘要
Abstract
A method of establishing AHP(analytic hierarchy process)-SDG(signed directed graph) model and identifying key nodes was proposed based on complex network.Considering high complexity,poor resolution and some variables neglected in the modeling of chemical process system.Firstly,system SDG model was established and transformed into undirected network after dividing hierarchy structure of chemical process.According to the multi-attribute decision-making method,the subsystems,which contain the key node,were identified by selecting multiple node importance indices,such as degree centrality,closeness centrality,flow betweenness centrality,eigenvector centrality and structural holes.The weight of each index was calculated by principal component analysis.Secondly,the subsystem SDG model was transformed into directed network.Key nodes were found further through LeaderRank algorithm.Experimental results showed that this method can not only reduce the complexity of modeling,but also can improve the comprehensive and accuracy of identification.Thereby,it can improve the security and stability of chemical process.关键词
化工过程/层次符号有向图/复杂网络/主成分分析法/逼近理想排序法/LeaderRank算法/关键节点Key words
chemical processes/AHP-SDG model/complex networks/principal component analysis/TOPSIS/LeaderRank algorithm/key node分类
资源环境引用本文复制引用
姜英,王政,秦艳,袁健宝,贾小平,王芳..基于复杂网络的化工过程层次符号有向图模型建立及关键节点识别[J].化工进展,2018,37(2):444-451,8.基金项目
国家自然科学基金项目(21136003,41101570). （21136003,41101570）
