Information flow in a network model and the law of diminishing marginal returns
نویسندگان
چکیده
D. Marinazzo, M. Pellicoro, Guo-Rong Wu, 3 L. Angelini, and S. Stramaglia Faculty of Psychology and Educational Sciences, Department of Data Analysis, Ghent University, Henri Dunantlaan 1, B-9000 Ghent, Belgium Dipartimento di Fisica, Universitá degli Studi di Bari and INFN, via Orabona 4, 70126 Bari, Italy Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China (ΩDated: April 19, 2012)
منابع مشابه
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 distribution of the outgoing information, as a signature of the law of diminishing marginal returns....
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ورودعنوان ژورنال:
- CoRR
دوره abs/1202.5041 شماره
صفحات -
تاریخ انتشار 2012