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- W1424584893 abstract "Analysis of degree-degree dependencies in complex networks, and their impact on processes on networks requires null models, i.e. models that generate uncorrelated scale-free networks. Most models to date however show structural negative dependencies, caused by finite size effects. We analyze the behavior of these structural negative degree-degree dependencies, using rank based correlation measures, in the directed Erased Configuration Model. We obtain expressions for the scaling as a function of the exponents of the distributions. Moreover, we show that this scaling undergoes a phase transition, where one region exhibits scaling related to the natural cut-off of the network while another region has scaling similar to the structural cut-off for uncorrelated networks. By establishing the speed of convergence of these structural dependencies we are able to asses statistical significance of degree-degree dependencies on finite complex networks when compared to networks generated by the directed Erased Configuration Model." @default.
- W1424584893 created "2016-06-24" @default.
- W1424584893 creator A5050093240 @default.
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- W1424584893 date "2015-08-07" @default.
- W1424584893 modified "2023-09-26" @default.
- W1424584893 title "Phase transitions for scaling of structural correlations in directed networks" @default.
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- W1424584893 doi "https://doi.org/10.1103/physreve.92.022803" @default.
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