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Abstract: Understanding key structural properties of large scale networks are crucialfor analyzing and optimizing their performance, and improving their reliabilityand security. Here we show that these networks possess a previously unnoticedfeature, global curvature, which we argue has a major impact on corecongestion: the load at the core of a network with N nodes scales as N^2 ascompared to N^1.5 for a flat network. We substantiate this claim throughanalysis of a collection of real data networks across the globe as measured anddocumented by previous researchers.



Autor: Onuttom Narayan, Iraj Saniee

Fuente: https://arxiv.org/



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