Scaling breakdown in flow fluctuations on complex networks.
We propose a model of random diffusion to investigate flow fluctuations in complex networks. We derive an analytical law showing that the dependence of fluctuations with the mean traffic in a network is ruled by the delicate interplay of three factors, respectively, of dynamical, topological and statistical nature. In particular, we demonstrate that the existence of a power-law scaling characterizing the flow fluctuations at every node in the network cannot be claimed. We show the validity of this scaling breakdown under quite general topological and dynamical situations by means of different traffic algorithms and by analyzing real data.
Meloni
Sandro
S
Department of Informatics and Automation, University of Rome Roma Tre, Via della Vasca Navale, 79 00146, Rome, Italy.
Gómez-Gardeñes
Jesús
J
Latora
Vito
V
Moreno
Yamir
Y