Noise enhances information transfer in hierarchical networks
Agnieszka Czaplickaa b, Janusz A. Hołystb, Peter M. A. Slootc d e
- aFaculty of Physics, Center of Excellence for Complex Systems Research, Warsaw University of Technology, Koszykowa 75, PL-00-662 Warsaw, Poland
- bFaculty of Physics, Center of Excellence for Complex Systems Research, Warsaw University of Technology, Koszykowa 75, PL-00-662, Warsaw, Poland
- cComputational Science, University of Amsterdam, Science Park 904, 1098 XH, Amsterdam, The Netherlands
- dNanyang Technological University, 50 Nanyang Avenue, 639798, Singapore
- eNational Research University of Information Technologies, Mechanics and Optics (ITMO), Kronverkskiy 49, 197101, Saint Petersburg, Russia
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Abstract
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.
TL;DRIt is found that hierarchical networks built of nodes of various degrees are more efficient in information transfer than trees with a fixed branching factor. (Semantic Scholar)