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. 2017 Apr 21;8:14826. doi: 10.1038/ncomms14826

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Copyright © 2017, The Author(s)

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(a) CF versus out-degree of the largest hub in a collection of SF-Binom networks binned according to their largest hub. (b) Changes in Convergence Fraction (CF) following deletion of a number of leading hubs (red) or deletion of the same number of random nodes (blue) from networks with SF-Binom topology. (c) Effect of adding a small number of outgoing hubs to a Binon-Binom ensemble. The out-degrees of the added hubs were chosen to mimic the SF-out ensemble of Fig. 2. (d) Effect of adding autoregulatory loops on a specific number (1, 3 and 10) of the leading outgoing hubs on a background of a SF-Binom ensemble. N=1,500, y=0, g₀=10, D=10⁻³. Parameters for degree distributions: SF, (a=1, γ=2.4); Binom, ; Exp, (β=3.5).

Inline graphic — (a) CF versus out-degree of the largest hub in a collection of SF-Binom networks binned according to their largest hub. (b) Changes in Convergence Fraction (CF) following deletion of a number of leading hubs (red) or deletion of the same number of random nodes (blue) from networks with SF-Binom topology. (c) Effect of adding a small number of outgoing hubs to a Binon-Binom ensemble. The out-degrees of the added hubs were chosen to mimic the SF-out ensemble of Fig. 2. (d) Effect of adding autoregulatory loops on a specific number (1, 3 and 10) of the leading outgoing hubs on a background of a SF-Binom ensemble. N=1,500, y=0, g₀=10, D=10⁻³. Parameters for degree distributions: SF, (a=1, γ=2.4); Binom, ; Exp, (β=3.5).