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

Daniele Marinazzo; Mario Pellicoro; Guorong Wu; Leonardo Angelini; Sebastiano Stramaglia

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arXiv · 1202.5041

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

Daniele Marinazzo·Mario Pellicoro·Guorong Wu·Leonardo Angelini·Sebastiano Stramaglia

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Abstract

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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Daniele Marinazzo, Mario Pellicoro, Guorong Wu, Leonardo Angelini, Sebastiano Stramaglia. 2012-02-22. Information flow in a network model and the law of diminishing marginal returns. https://arxiv.org/abs/1202.5041

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