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Self-Healing Networks: Redundancy and Structure

Overview of attention for article published in PLOS ONE, February 2014
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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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
1 news outlet
twitter
27 X users
facebook
1 Facebook page

Citations

dimensions_citation
75 Dimensions

Readers on

mendeley
106 Mendeley
citeulike
1 CiteULike
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Title
Self-Healing Networks: Redundancy and Structure
Published in
PLOS ONE, February 2014
DOI 10.1371/journal.pone.0087986
Pubmed ID
Authors

Walter Quattrociocchi, Guido Caldarelli, Antonio Scala

Abstract

We introduce the concept of self-healing in the field of complex networks modelling; in particular, self-healing capabilities are implemented through distributed communication protocols that exploit redundant links to recover the connectivity of the system. We then analyze the effect of the level of redundancy on the resilience to multiple failures; in particular, we measure the fraction of nodes still served for increasing levels of network damages. Finally, we study the effects of redundancy under different connectivity patterns-from planar grids, to small-world, up to scale-free networks-on healing performances. Small-world topologies show that introducing some long-range connections in planar grids greatly enhances the resilience to multiple failures with performances comparable to the case of the most resilient (and least realistic) scale-free structures. Obvious applications of self-healing are in the important field of infrastructural networks like gas, power, water, oil distribution systems.

X Demographics

X Demographics

The data shown below were collected from the profiles of 27 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 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 3 3%
Switzerland 2 2%
Germany 1 <1%
Brazil 1 <1%
Mexico 1 <1%
Unknown 98 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 27%
Student > Master 21 20%
Researcher 16 15%
Student > Bachelor 7 7%
Student > Doctoral Student 7 7%
Other 14 13%
Unknown 12 11%
Readers by discipline Count As %
Computer Science 24 23%
Engineering 23 22%
Physics and Astronomy 17 16%
Social Sciences 4 4%
Agricultural and Biological Sciences 3 3%
Other 16 15%
Unknown 19 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 12 July 2023.
All research outputs
#1,437,650
of 25,398,331 outputs
Outputs from PLOS ONE
#17,966
of 221,285 outputs
Outputs of similar age
#16,563
of 329,432 outputs
Outputs of similar age from PLOS ONE
#553
of 5,816 outputs
Altmetric has tracked 25,398,331 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 221,285 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 particularly well, scoring higher than 91% 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 329,432 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 5,816 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.