Regensburg 2013 – wissenschaftliches Programm
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DY: Fachverband Dynamik und Statistische Physik
DY 33: Poster II
DY 33.52: Poster
Donnerstag, 14. März 2013, 17:00–19:00, Poster C
Noise enhances information transfer in hierarchical networks — •Agnieszka Czaplicka1, Janusz A. Hołyst1, and Peter M.A. Sloot2,3,4 — 1Faculty of Physics, Center of Excellence for Complex Systems Research, Warsaw University of Technology, Koszykowa 75, PL-00-662 Warsaw, Poland. — 2Computational Science, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands. — 3National Research University of Information Technologies, Mechanics and Optics (ITMO), Kronverkskiy 49, 197101 Saint Petersburg, Russia. — 4Nanyang Technological University, 50 Nanyang Avenue, 639798 Singapore.
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.