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Concurrent enhancement of percolation and synchronization in adaptive networks

Overview of attention for article published in Scientific Reports, June 2016
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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 (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

twitter
13 tweeters
wikipedia
1 Wikipedia page

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
32 Mendeley
Title
Concurrent enhancement of percolation and synchronization in adaptive networks
Published in
Scientific Reports, June 2016
DOI 10.1038/srep27111
Pubmed ID
Authors

Young-Ho Eom, Stefano Boccaletti, Guido Caldarelli

Abstract

Co-evolutionary adaptive mechanisms are not only ubiquitous in nature, but also beneficial for the functioning of a variety of systems. We here consider an adaptive network of oscillators with a stochastic, fitness-based, rule of connectivity, and show that it self-organizes from fragmented and incoherent states to connected and synchronized ones. The synchronization and percolation are associated to abrupt transitions, and they are concurrently (and significantly) enhanced as compared to the non-adaptive case. Finally we provide evidence that only partial adaptation is sufficient to determine these enhancements. Our study, therefore, indicates that inclusion of simple adaptive mechanisms can efficiently describe some emergent features of networked systems' collective behaviors, and suggests also self-organized ways to control synchronization and percolation in natural and social systems.

Twitter Demographics

The data shown below were collected from the profiles of 13 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 38%
Researcher 5 16%
Student > Master 4 13%
Professor 3 9%
Student > Postgraduate 3 9%
Other 5 16%
Readers by discipline Count As %
Physics and Astronomy 11 34%
Unspecified 7 22%
Mathematics 4 13%
Neuroscience 3 9%
Agricultural and Biological Sciences 2 6%
Other 5 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 24 September 2018.
All research outputs
#1,682,353
of 13,549,479 outputs
Outputs from Scientific Reports
#14,257
of 66,217 outputs
Outputs of similar age
#52,719
of 357,321 outputs
Outputs of similar age from Scientific Reports
#717
of 3,433 outputs
Altmetric has tracked 13,549,479 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 66,217 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has done well, scoring higher than 78% 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 357,321 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 85% of its contemporaries.
We're also able to compare this research output to 3,433 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.