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Descripción
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| In this paper we study the robustness of heterogeneous preferential attachment networks. The robustness of a network measures its structural tolerance to the random removal of nodes and links. We numerically analyze the influence of the affinity parameters on a set of ensemble-averaged robustness metrics. We show that the presence of heterogeneity does not fundamentally alter the smooth nature of the fragmentation process of the models. We also show that a moderate level of locality translates into slight improvements in the robustness metrics, which prompts us to conjecture an evolutionary argument for the existence of real networks with power-law scaling in their connectivity and clustering distributions. | |
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Internacional
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Si |
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JCR del ISI
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Si |
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Título de la revista
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PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS |
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ISSN
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0378-4371 |
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Factor de impacto JCR
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1,441 |
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Información de impacto
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Volumen
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388 |
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DOI
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10.1016/j.physa.2009.02.016 |
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Número de revista
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11 |
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Desde la página
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2234 |
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Hasta la página
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2242 |
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Mes
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JUNIO |
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Ranking
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