{"title":"Vulnerability Analysis of Complex Network Important Nodes Based on Multi-attribute","authors":"Jintao Yu, B. Xiao, Hao Li","doi":"10.1145/3522749.3523071","DOIUrl":null,"url":null,"abstract":"∗ In order to predict the fragile nodes in complex networks more accurately, an important node mining method on the basis of multi-attributes is presented in the article. This method is suitable for both directed and undirected simple graph with no self-loops. The experiments based on ARPA-Net data show that the proposed method has better predictive ability on finding important nodes which can be applied to vulnerability analysis of complex network.","PeriodicalId":361473,"journal":{"name":"Proceedings of the 6th International Conference on Control Engineering and Artificial Intelligence","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th International Conference on Control Engineering and Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3522749.3523071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
∗ In order to predict the fragile nodes in complex networks more accurately, an important node mining method on the basis of multi-attributes is presented in the article. This method is suitable for both directed and undirected simple graph with no self-loops. The experiments based on ARPA-Net data show that the proposed method has better predictive ability on finding important nodes which can be applied to vulnerability analysis of complex network.