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Noise enhances information transfer in hierarchical networks

Overview of attention for article published in Scientific Reports, February 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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1 policy source
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11 X users
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1 Facebook page

Citations

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41 Dimensions

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66 Mendeley
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Title
Noise enhances information transfer in hierarchical networks
Published in
Scientific Reports, February 2013
DOI 10.1038/srep01223
Pubmed ID
Authors

Agnieszka Czaplicka, Janusz A. Holyst, Peter M. A. Sloot

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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 4 6%
Portugal 1 2%
Netherlands 1 2%
United Kingdom 1 2%
Russia 1 2%
United States 1 2%
Unknown 57 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 29%
Researcher 14 21%
Student > Master 7 11%
Professor > Associate Professor 6 9%
Professor 5 8%
Other 10 15%
Unknown 5 8%
Readers by discipline Count As %
Physics and Astronomy 22 33%
Computer Science 14 21%
Agricultural and Biological Sciences 8 12%
Mathematics 3 5%
Psychology 3 5%
Other 6 9%
Unknown 10 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 April 2022.
All research outputs
#2,861,044
of 22,696,971 outputs
Outputs from Scientific Reports
#24,486
of 122,281 outputs
Outputs of similar age
#31,329
of 282,959 outputs
Outputs of similar age from Scientific Reports
#115
of 425 outputs
Altmetric has tracked 22,696,971 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 122,281 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one has done well, scoring higher than 79% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 282,959 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 425 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.