Fractal and multifractal properties characterize many realworld 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.
CITATION STYLE
Budroni, M. A., & Pastor-Satorras, R. (2017). Scale-free networks out of multifractal chaos. In Communications in Computer and Information Science (Vol. 708, pp. 3–13). Springer Verlag. https://doi.org/10.1007/978-3-319-57711-1_1
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