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Phase transition in the diffusion and bootstrap percolation models on regular random and Erdős-Rényi networks

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Abstract
The diffusion and bootstrap percolation models were studied in regular random and Erdős-Rényi networks using the modified Newman-Ziff algorithms. We calculated the percolation threshold and the order parameter of the percolation transition (strength of the giant cluster) and its derivatives. The percolation transitions are classified by the results. The diffusion percolation with a small k has a double transition, and the bootstrap percolation with has the first-order percolation transition. The diffusion percolation with a large k and the bootstrap percolation with a small m show the second-order percolation transition. Particularly, third-order percolation transitions were discovered in the bootstrap percolation of in regular random networks.
Author(s)
Choi, Jeong-OkYu, Unjong
Issued Date
2021-12
Type
Article
DOI
10.1016/j.jcp.2021.110670
URI
https://scholar.gist.ac.kr/handle/local/11167
Publisher
Academic Press
Citation
Journal of Computational Physics, v.446, pp.110670
ISSN
0021-9991
Appears in Collections:
Department of Physics and Photon Science > 1. Journal Articles
Department of Mathematical Sciences > 1. Journal Articles
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