{"title":"Establishing Correlation Between Structural and Spectral Property in K-Shell Structure","authors":"Debasis Mohapatra, Soubhagya Ranjan Pradhan, Hahnemann Lenka, R. Tripathy, Anjana Panda, Monalisa Sethy","doi":"10.1109/ICIT.2018.00030","DOIUrl":null,"url":null,"abstract":"Degeneracy in graph theory, often known as k-shell decomposition in the graph is a well-studied problem. It is used to generate a core-periphery structure of a network that defines the levels of importance of the nodes of a network. The core nodes are the most influential nodes of a network. In this paper, we investigate the cascade capacity of a node inside a shell. We found that the intra-shell cascade capacity of a node in the core is more than the others because the Clustering Coefficient (CC) of the core is high and the Localization factor is less. There exist a negative correlation between CC and IPR. We have established this relationship between structural property CC and spectral property of Principal Eigen Vector (PEV) Localization using IPR and validated the intra-shell cascade capacity using Independent Cascade(IC) Model.","PeriodicalId":221269,"journal":{"name":"2018 International Conference on Information Technology (ICIT)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Information Technology (ICIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIT.2018.00030","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Degeneracy in graph theory, often known as k-shell decomposition in the graph is a well-studied problem. It is used to generate a core-periphery structure of a network that defines the levels of importance of the nodes of a network. The core nodes are the most influential nodes of a network. In this paper, we investigate the cascade capacity of a node inside a shell. We found that the intra-shell cascade capacity of a node in the core is more than the others because the Clustering Coefficient (CC) of the core is high and the Localization factor is less. There exist a negative correlation between CC and IPR. We have established this relationship between structural property CC and spectral property of Principal Eigen Vector (PEV) Localization using IPR and validated the intra-shell cascade capacity using Independent Cascade(IC) Model.