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The elastic and directed percolation backbone

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arxiv 1805.08201 v1 pith:YQ34EACK submitted 2018-05-21 cond-mat.dis-nn

classification cond-mat.dis-nn
keywords backbonefractalsystemarguebetadimensiondimensionsdirected
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abstract

We argue that the elastic backbone (EB) (union of shortest paths) on a cylindrical system, recently studied by Sampaio Filho et al. [Phys. Rev. Lett. 120, 175701 (2018)], is in fact the backbone of two-dimensional directed percolation (DP). We simulate the EB on the same system as considered by these authors, and also study the DP backbone directly using an algorithm that allows backbones to be generated in a completely periodic manner. We find that both the EB in the bulk and the DP backbone have a fractal dimension of $d_{b} = d_{B,\rm DP} = 1.681\,02(15)$ at the identical critical point $p_{c,\rm{DP}} \approx 0.705\,485\,22$. We also measure the fractal dimension at the edge of the EB system and for the full DP clusters, and find $d_e = d_{\rm DP} = 1.840 \, 54 (4)$. We argue that those two fractal dimensions follow from the DP exponents as $d_{B,\rm DP} = 2-2\beta/\nu_\parallel = 1.681 \, 07 2 (12) $ and $d_{\rm DP} = 2-\beta/\nu_\parallel = 1.840\, 536 (6)$. Our fractal dimensions differ from the value 1.750(3) found by Sampaio Filho et al., whose value may represent a crossover effect.

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Cited by 1 Pith paper

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  1. Boosting KNNClassifier Performance with Opposition-Based Data Transformation

    cs.LG 2025-04 reject novelty 4.0 of 10

    The paper applies existing opposition-based reflection to augment KNN training data, but the reported results do not support the claimed consistent improvements.

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