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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.05998 |
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| _version_ | 1866908507268186112 |
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| author | Zhao, Xuewei Yang, Liwenying Peng, Dan Liu, Run-Ran Li, Ming |
| author_facet | Zhao, Xuewei Yang, Liwenying Peng, Dan Liu, Run-Ran Li, Ming |
| contents | Critical phenomena on scale-free networks with a degree distribution $p_k \sim k^{-λ}$ exhibit rich finite-size effects due to its structural heterogeneity. We systematically study the finite-size scaling of percolation and identify two distinct crossover routes to mean-field behavior: one controlled by the degree exponent $λ$, the other by the degree cutoff $K \sim V^κ$, where $V$ is the system size and $κ\in [0,1]$ is the cutoff exponent. Increasing $λ$ or decreasing $κ$ suppresses heterogeneity and drives the system toward mean-field behavior, with logarithmic corrections near the marginal case. These findings provide a unified picture of the crossover from heterogeneous to homogeneous criticality. In the crossover regime, we observe rich finite-size phenomena, including the transition from vanishing to divergent susceptibility, distinct exponents for the shift and fluctuation of pseudocritical points, and a numerical clarification of previous theoretical predictions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_05998 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Finite-size scaling of percolation on scale-free networks Zhao, Xuewei Yang, Liwenying Peng, Dan Liu, Run-Ran Li, Ming Statistical Mechanics Critical phenomena on scale-free networks with a degree distribution $p_k \sim k^{-λ}$ exhibit rich finite-size effects due to its structural heterogeneity. We systematically study the finite-size scaling of percolation and identify two distinct crossover routes to mean-field behavior: one controlled by the degree exponent $λ$, the other by the degree cutoff $K \sim V^κ$, where $V$ is the system size and $κ\in [0,1]$ is the cutoff exponent. Increasing $λ$ or decreasing $κ$ suppresses heterogeneity and drives the system toward mean-field behavior, with logarithmic corrections near the marginal case. These findings provide a unified picture of the crossover from heterogeneous to homogeneous criticality. In the crossover regime, we observe rich finite-size phenomena, including the transition from vanishing to divergent susceptibility, distinct exponents for the shift and fluctuation of pseudocritical points, and a numerical clarification of previous theoretical predictions. |
| title | Finite-size scaling of percolation on scale-free networks |
| topic | Statistical Mechanics |
| url | https://arxiv.org/abs/2507.05998 |