• Corpus ID: 18827851

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

@article{Marinazzo2012InformationFI,
  title={Information flow in a network model and the law of diminishing marginal returns},
  author={Daniele Marinazzo and Mario Pellicoro and Guorong Wu and Leonardo Angelini and Sebastiano Stramaglia},
  journal={ArXiv},
  year={2012},
  volume={abs/1202.5041}
}

• Daniele Marinazzo, M. Pellicoro, +2 authors S. Stramaglia
• Published 22 February 2012
• Computer Science
• ArXiv

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.