Fractal and multifractal properties characterize many real world scale-free networks. Here we present a deterministic approach to generate power-law networks from multifractal chaotic time series. We show, both analytically and numerically, how the resulting scale-free topologies preserve the multifractal information of the original chaotic source embedded in the exponent of the power-law degree distribution.
Scale-free networks out of multifractal chaos / Budroni, Marcello A.; Pastor-Satorras, Romualdo. - 708:(2017), pp. 3-13. [10.1007/978-3-319-57711-1_1]
Scale-free networks out of multifractal chaos
Budroni, Marcello A.
;
2017-01-01
Abstract
Fractal and multifractal properties characterize many real world scale-free networks. Here we present a deterministic approach to generate power-law networks from multifractal chaotic time series. We show, both analytically and numerically, how the resulting scale-free topologies preserve the multifractal information of the original chaotic source embedded in the exponent of the power-law degree distribution.File in questo prodotto:
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