ArticleScientific reports2013
Noise enhances information transfer in hierarchical networks.
Article in Scientific reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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Who cites it
9 citing papers in PubMed.
- Cascades Towards Noise-Induced Transitions on Networks Revealed Using Information Flows.Entropy (Basel, Switzerland) · 2024Article
- Fast and accurate detection of spread source in large complex networks.Scientific reports · 2018Article
- Article
- Disorder and dephasing as control knobs for light transport in optical fiber cavity networks.Scientific reports · 2016Article
- Capacity of very noisy communication channels based on Fisher information.Scientific reports · 2016Article
- Structure, Function, and Propagation of Information across Living Two, Four, and Eight Node Degree Topologies.Frontiers in bioengineering and biotechnology · 2016Article
- Nonlinear effects of nanoparticles: biological variability from hormetic doses, small particle sizes, and dynamic adaptive interactions.Dose-response : a publication of International Hormesis Society · 2014Article
- The relative ineffectiveness of criminal network disruption.Scientific reports · 2014Article
- Total levels of hippocampal histone acetylation predict normal variability in mouse behavior.PloS one · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.