Information flow in a network model and the law of diminishing marginal returns

Details Information flow in a network model and the law of diminishing marginal returns Information flow in a network model and the law of diminishing marginal returns

2012-02-22

arxiv.org/abs/1202.5041v2

Physics

Data Analysis, Statistics and Probability

5 pages, 7 figures

Scientific paper

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.

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