Investigating stronger tolerant network against cascading failures in focusing on changing degree distributions.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 38985814.
- Also identified by DOI 10.1371/journal.pone.0297094 and PMC identifier 11236162.
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Abstract
Many real-world networks with Scale-Free structure are significantly vulnerable against both intentional attacks and catastrophic cascading failures. On the other hand, it has been shown that networks with narrower degree distributions have strong robustness of connectivity by enhancing loops. This paper numerically reveals that such networks are also tolerant against cascading failures. Our findings will be useful in designing stronger tolerant network infrastructures.
Medical subject headings
- Neural Networks, Computer
- Models, Theoretical
- Poisson Distribution