ArticleNature communications2026
Temporal self-similarity reveals percolation universality classes in complex networks.
Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
10 authors.
Funding
Abstract
Catastrophic fragmentation and structural transitions are ubiquitous in real-world complex systems, yet their underlying universality classes remain largely elusive due to strong structural heterogeneity and the absence of well-defined critical thresholds. Here, we discover a robust phenomenon of temporal self-similarity governing the dynamic percolation process across diverse complex networks. By tracking the full statistics of incremental growth events, we reveal that fragmentation dynamics are governed by two independent Fisher-type critical exponents, τ
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