The spectral degree exponent of a graph
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arXiv
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| Auteurs principaux: | , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866913676510887936 |
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| author | Achterberg, Massimo A. Van Mieghem, Piet |
| author_facet | Achterberg, Massimo A. Van Mieghem, Piet |
| contents | We propose the spectral degree exponent as a novel graph metric. Although Hofmeister \cite{HofmeisterThesis} has studied the same metric, we generalise Hofmeister's work to weighted graphs. We provide efficient iterative formulas and bounds for the spectral degree exponent and provide highly accurate asymptotic expansions for the spectral degree exponent for several families of graphs. Furthermore, we uncover a close relation between the spectral degree exponent and the well-known degree assortativity, by showing high correlations between the two metrics in all small graphs, several random graph models and many real-world graphs. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_01815 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | The spectral degree exponent of a graph Achterberg, Massimo A. Van Mieghem, Piet Combinatorics We propose the spectral degree exponent as a novel graph metric. Although Hofmeister \cite{HofmeisterThesis} has studied the same metric, we generalise Hofmeister's work to weighted graphs. We provide efficient iterative formulas and bounds for the spectral degree exponent and provide highly accurate asymptotic expansions for the spectral degree exponent for several families of graphs. Furthermore, we uncover a close relation between the spectral degree exponent and the well-known degree assortativity, by showing high correlations between the two metrics in all small graphs, several random graph models and many real-world graphs. |
| title | The spectral degree exponent of a graph |
| topic | Combinatorics |
| url | https://arxiv.org/abs/2502.01815 |