电子科技大学学报2018，Vol.47Issue(2)：292-297,6.DOI:10.3969/j.issn.1001-0548.2018.02.021
识别流网络关键节点的虚拟外界投入产出分析法
Identification of Critical Nodes in Flow Network by a Virtual External Input-Output Analysis
摘要
Abstract
Identification of critical nodes in a network is one of key issues in complex network analysis. The input-output (IO) model in economics can be used to evaluate the node centrality in open flow networks, but it cannot be directly applied to closed flow networks which lack of external inflow and outflow. This paper introduces a virtual external node to convert the closed flow network into an open flow network, which makes the standard IO analysis method can be used to identify critical nodes in closed flow networks. This virtual external IO analysis method is then applied to the identification of critical nodes in Chinese Railway Network and the World Food and Agriculture Trade Network. The proposed analysis method provides an alternative approach for evaluating node centrality in closed flow networks.关键词
复杂网络/流网络/虚拟消去法/投入产出分析法/节点中心性Key words
complex network/flow network/hypothetical extraction method/input-output analysis/node centrality分类
数理科学引用本文复制引用
朱为华,刘凯,闫小勇,汪明,吴金闪..识别流网络关键节点的虚拟外界投入产出分析法[J].电子科技大学学报,2018,47(2):292-297,6.基金项目
国家自然科学基金(41401601,71671015) （41401601,71671015）
北京市自然科学基金(L150005) （L150005）
