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Noise enhances information transfer in hierarchical networks

Agnieszka Czaplicka 1Janusz A. Hołyst 1Peter M A Sloot 2,3,4

1. Warsaw University of Technology, Centre of Excellence for Complex Systems Research, Koszykowa 75, Warszawa 00-662, Poland
2. Computational Science, University of Amsterdam, Science Park 904, Amsterdam 1098 XH, Netherlands
3. National Research University of Information Technologies, Mechanics and Optics (ITMO), Kronverkskiy 49, Saint-Petersburg 197101, Russian Federation
4. Nanyang Technological University, Nanyang Avenue 50, Nanyang 639798, Singapore

Abstract

We study the influence of noise on information transmission in a 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.

 

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Related papers

Presentation: Poster at CyberEmotions conference, by Agnieszka Czaplicka
See On-line Journal of CyberEmotions conference

Submitted: 2013-01-22 15:40
Revised:   2013-01-22 18:45