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Stochastic Noise Application for the Assessment of Medial Vestibular Nucleus Neuron Sensitivity In Vitro
Published on: August 28, 2019
Noise enhances information transfer in hierarchical networks
Agnieszka Czaplicka1, Janusz A Holyst, Peter M A Sloot
1Faculty of Physics, Center of Excellence for Complex Systems Research, Warsaw University of Technology, Koszykowa 75, PL-00-662 Warsaw, Poland.
Scientific Reports
|February 8, 2013
Summary
Noise can improve information transfer in hierarchical networks. Optimal performance, a phenomenon known as stochastic resonance, is achieved when noise levels are precisely tuned, revealing synergistic effects between different noise types.
Area of Science:
- Network science
- Information theory
- Complex systems
Background:
- Information transmission efficiency is crucial in networked systems.
- Understanding the impact of noise on network dynamics is essential.
- Hierarchical network structures are prevalent in various real-world systems.
Purpose of the Study:
- To investigate the influence of different types of noise on information transmission in hierarchical networks.
- To identify conditions under which noise enhances information transfer.
- To explore the phenomenon of stochastic resonance in network information flow.
Main Methods:
- Numerical simulations on artificial tree networks and scale-free Ravasz-Barabási networks.
- Analysis of a real-world network dataset (Enron email communication).
- Modeling two distinct noise sources: packet path randomness and network topology fluctuations.
Main Results:
- Information transfer efficiency can be significantly enhanced by the presence of noise.
- Optimal information transfer occurs at specific, non-zero noise levels, indicating stochastic resonance.
- A synergistic effect was observed between the two types of noise components.
- Hierarchical networks with varying node degrees exhibit superior information transfer compared to uniform trees.
Conclusions:
- Noise is not always detrimental and can be a beneficial factor in information transmission within hierarchical networks.
- The study demonstrates the applicability of stochastic resonance principles to network information flow.
- Network topology, particularly hierarchical structures with heterogeneous node degrees, plays a key role in efficient information processing.
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