Paper detail

Transmission of Information between Complex Networks: 1/f-Resonance

We study the transport of information between two complex networks with similar properties. Both networks generate non-Poisson renewal fluctuations with a power-law spectrum 1/f^(3-μ), the case μ= 2 corresponding to ideal 1/f-noise. We denote by μ_S and μ_P the power-law indexes of the network "system" of interest S and the perturbing network P respectively. By adopting a generalized fluctuation-dissipation theorem (FDT) we show that the ideal condition of 1/f-noise for both networks corresponds to maximal information transport. We prove that to make the network S respond when μ_S < 2 we have to set the condition μ_P < 2. In the latter case, if μ_P < μ_S, the system S inherits the relaxation properties of the perturbing network. In the case where μ_P > 2, no response and no information transmission occurs in the long-time limit. We consider two possible generalizations of the fluctuation-dissipation theorem and show that both lead to maximal information transport in the condition of 1/f-noise.