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Reference Details
Czaplicka, Agnieszka, Holyst, Janusz A. and Sloot, Peter M. A. (2013), "Noise enhances information transfer in hierarchical networks", http://www.nature.com.

We study the influence of noise on information transmission in the form of packages shipped between nodes of hierarchical networks. Numerical simulations are performed for artificial tree networks, scale-free Ravasz-Barabási networks as well for a real network formed by email addresses of former Enron employees. Two types of noise are considered. One is related to packet dynamics and is responsible for a random part of packets paths. The second one originates from random changes in initial network topology. We find that the information transfer can be enhanced by the noise. The system possesses optimal performance when both kinds of noise are tuned to specific values, this corresponds to the Stochastic Resonance phenomenon. There is a non-trivial synergy present for both noisy components. We found also that hierarchical networks built of nodes of various degrees are more efficient in information transfer than trees with a fixed branching factor.

Computational science, Scientific data, Information theory and computation, Statistical physics, thermodynamics and nonlinear dynamics

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This article is 'Highly accessed'  (total accesses to this article since publication: 1197) relative to age  in  BioMed Central:
Increasing risk behaviour can outweigh the benefits of antiretroviral drug treatment on the HIV incidence among men-having-sex-with-men in Amsterdam
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As of August 27, the most downloaded/accessed paper in BMC Systems Biology is: D. van Dijk et al.: Identifying potential survival strategies of HIV-1 through virus-host protein interaction networks, BMC Systems Biology, vol. 4, nr 1 pp. 96+17. 2010.

This paper received the ICCS best paper award 2010:
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Procedia Computer Science vol. 1, nr 1 pp. 555-564. Elsevier B.V., Amsterdam, May 2010.

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Real networks are dynamic
EU Grant Agreement Number: 233847

BONUS Grant Number: OMFB-00237/2010

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