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• W4366996873 abstract "Energy is an important network indicator defined by the eigenvalues of an adjacency matrix that includes the neighbor information for each node. This article expands the definition of network energy to include higher-order information between nodes. We use resistance distances to characterize the distances between nodes and order complexes to extract higher-order information. Topological energy ( T E), defined by the resistance distance and order complex, reveals the characteristics of the network structure from multiple scales. In particular, calculations show that the topological energy can be used to distinguish graphs with the same spectrum well. In addition, topological energy is robust, and small random perturbations of edges do not significantly affect the T E values. Finally, we find that the energy curve of the real network is significantly different from that of the random graph, thus showing that T E can be used to distinguish the network structure well. This study shows that T E is an indicator that distinguishes the structure of a network and has some potential applications for real-world problems." @default.
• W4366996873 created "2023-04-27" @default.
• W4366996873 creator A5079772699 @default.
• W4366996873 date "2023-04-01" @default.
• W4366996873 modified "2023-09-27" @default.
• W4366996873 title "Topological energy of networks" @default.
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• W4366996873 doi "https://doi.org/10.1063/5.0137296" @default.
• W4366996873 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37097965" @default.
• W4366996873 hasPublicationYear "2023" @default.
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