Estrada index and subgraph centrality of hypergraphs via tensors
Hong Zhou, Lizhu Sun, Changjiang Bu

TL;DR
This paper explores the Estrada index and subgraph centrality of uniform hypergraphs using tensor representations, providing bounds and expressions that connect hypergraph properties to graph parameters.
Contribution
It introduces methods to analyze hypergraph centrality measures via tensors, extending concepts from graphs to hypergraphs and establishing new bounds and formulas.
Findings
Derived bounds for the Estrada index of hypergraphs
Expressed subgraph centrality in terms of associated digraph parameters
Specialized results for 2-uniform hypergraphs (graphs)
Abstract
Uniform hypergraphs have a natural one-to-one correspondence to tensors. In this paper, we investigate the Estrada index and subgraph centrality of an -uniform hypergraph via the adjacency tensor. We establish some bounds for the Estrada index and give expressions of the subgraph centrality in terms of graph parameters of the multi-digraphs associated with . When is -uniform, the above Estrada index and subgraph centrality are the Estrada index and subgraph centrality of a graph.
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Taxonomy
TopicsTensor decomposition and applications · Supramolecular Self-Assembly in Materials · Alzheimer's disease research and treatments
