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Pré-Publication, Document De Travail Année : 2021

An assessment of hierarchicalness in renormalizable network models

Résumé

In order to clarify the relationship between renormalizable network models and hierarchicalness, we elaborate on a recent binary fitness-based renormalizable network model and evaluate how it can cope with hierarchicalness, that was characterized in several ways in the literature, and remains an elusive concept. To do so a benchmark hierarchical network is fit to a renormalizable network recently proposed. We report thaht under specific conditions the latter can accomodate hierarchicalness, examine various extensions, and discuss future applications to real hierarchical networks.
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Dates et versions

hal-03339315 , version 1 (09-09-2021)

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  • HAL Id : hal-03339315 , version 1

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Aurélien Hazan. An assessment of hierarchicalness in renormalizable network models. 2021. ⟨hal-03339315⟩

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