Information flow in networks and the law of diminishing marginal returns: evidence from modeling and human electroencephalographic recordings.

We analyze simple dynamical network models which describe the limited capacity of nodes to process the input information. For a proper range of their parameters, the information flow pattern in these models is characterized by exponential distribution of the incoming information and a fat-tailed dis...

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Bibliographic Details
Main Authors: Daniele Marinazzo, Guorong Wu, Mario Pellicoro, Leonardo Angelini, Sebastiano Stramaglia
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3445562?pdf=render