建立k -壳结构的结构与光谱性质的关系

Debasis Mohapatra, Soubhagya Ranjan Pradhan, Hahnemann Lenka, R. Tripathy, Anjana Panda, Monalisa Sethy
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引用次数: 3

摘要

图论中的退化,通常被称为图中的k壳分解,是一个研究得很好的问题。它用于生成网络的核心-外围结构,该结构定义了网络节点的重要性级别。核心节点是网络中最具影响力的节点。本文研究了壳内节点的级联容量。研究发现,由于核节点的聚类系数(CC)较高,局域化因子较小,核节点的壳内级联容量较大。CC与IPR呈负相关。我们利用IPR建立了结构属性CC与主特征向量(PEV)定位的谱属性之间的关系,并利用独立级联(Independent cascade, IC)模型验证了壳内级联容量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Establishing Correlation Between Structural and Spectral Property in K-Shell Structure
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.
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