New results and open problems on subgraph centrality

IF 0.4 Q4 MATHEMATICS, APPLIED
N.Ph. Deniskin, M. Benzi
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引用次数: 0

Abstract

Subgraph centrality, introduced by Estrada and Rodr\'iguez-Vel\'azquez in [12], has become a widely used centrality measure in the analysis of networks, with applications in biology, neuroscience, economics and many other fields. It is also worthy of study from a strictly mathematical point of view, in view of its connections to topics in spectral graph theory, number theory, analytic matrix functions, and combinatorics. In this paper we present some new results and a list of open questions about subgraph centrality and other node centrality measures based on graph walks.
子图中心性的新结果和开放问题
子图中心性(Subgraph centrality)由Estrada和Rodr\ iguez-Vel\ azquez在[12]中提出,已成为网络分析中广泛使用的中心性度量,在生物学、神经科学、经济学等许多领域都有应用。从严格的数学角度来看,它也值得研究,因为它与谱图论、数论、解析矩阵函数和组合学等主题有联系。在本文中,我们提出了一些新的结果和一系列关于子图中心性和其他基于图游动的节点中心性度量的开放问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Combinatorics
Journal of Combinatorics MATHEMATICS, APPLIED-
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