Local suppression by link rewiring reveals discontinuous percolation transitions

When a governor occupies links one by one to globally suppress the formation of large clusters, a macroscopic cluster emerges discontinuously. We report here a mechanism by which a macroscopic cluster emerges discontinuously when each node rewires its links to locally suppress the formation of large clusters as links are occupied. In this manner, each node may compete with its neighbors to suppress the growth of its cluster, but the formation of a macroscopic cluster is suppressed cooperatively, and this results in discontinuous percolation transitions. This result implies that each entity actively participating in suppressing macroscopic phenomena, such as an epidemic or forest fire, could potentially lead to a rapid outbreak.

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Publication Details

Journal
Science Advances
Published
2025-04-18
DOI
https://doi.org/10.1126/sciadv.adt0355
Citations
2
Primary Topic
Complex Network Analysis Techniques
Type
article
Field-Weighted Citation Impact
2.65
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article

Local suppression by link rewiring reveals discontinuous percolation transitions

Young Sul Cho
2 citations
Science Advances
Complex Network Analysis Techniques
2.65
article

Local suppression by link rewiring reveals discontinuous percolation transitions

Young Sul Cho
article en
2 citations

Abstract

When a governor occupies links one by one to globally suppress the formation of large clusters, a macroscopic cluster emerges discontinuously. We report here a mechanism by which a macroscopic cluster emerges discontinuously when each node rewires its links to locally suppress the formation of large clusters as links are occupied. In this manner, each node may compete with its neighbors to suppress the growth of its cluster, but the formation of a macroscopic cluster is suppressed cooperatively, and this results in discontinuous percolation transitions. This result implies that each entity actively participating in suppressing macroscopic phenomena, such as an epidemic or forest fire, could potentially lead to a rapid outbreak.

Science AdvancesVol. 11(16)
Jeonbuk National University (KR)
Good health and well-being
Openalex Percentile: Top 11%
Complex Network Analysis Techniques
2.65
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