%0 Journal Article
%T Information flow in a network model and the law of diminishing marginal returns
%A Daniele Marinazzo
%A Mario Pellicoro
%A Guorong Wu
%A Leonardo Angelini
%A Sebastiano Stramaglia
%J Computer Science
%D 2012
%I arXiv
%X We analyze a simple dynamical network model which describes the limited capacity of nodes to process the input information. For a suitable choice of the parameters, the information flow pattern is characterized by exponential distribution of the incoming information and a fat-tailed distribution of the outgoing information, as a signature of the law of diminishing marginal returns. The analysis of a real EEG data-set shows that similar phenomena may be relevant for brain signals.
%U http://arxiv.org/abs/1202.5041v2