Robustness of heterogeneous complex networks

A. Santiago and R.M. Benito

Physica A: Statistical Mechanics and its Applications, 2009, vol. 388, issue 11, 2234-2242

Abstract: 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.

Keywords: Heterogeneous networks; Robustness; Preferential attachment (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:388:y:2009:i:11:p:2234-2242

DOI: 10.1016/j.physa.2009.02.016

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