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Network rewiring dynamics with convergence towards a star network

Overview of attention for article published in Proceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences, October 2016
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Article details
Title
Network rewiring dynamics with convergence towards a star network
Published in
Proceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences, October 2016
DOI 10.1098/rspa.2016.0236
Pubmed ID
Authors
Abstract

Network rewiring as a method for producing a range of structures was first introduced in 1998 by Watts & Strogatz (Nature393, 440-442. (doi:10.1038/30918)). This approach allowed a transition from regular through small-world to a random network. The subsequent interest in scale-free networks motivated a number of methods for developing rewiring approaches that converged to scale-free networks. This paper presents a rewiring algorithm (RtoS) for undirected, non-degenerate, fixed size networks that transitions from regular, through small-world and scale-free to star-like networks. Applications of the approach to models for the spread of infectious disease and fixation time for a simple genetics model are used to demonstrate the efficacy and application of the approach.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Other 1 14%
Student > Master 1 14%
Researcher 1 14%
Professor > Associate Professor 1 14%
Other 0 0%
Unknown 1 14%
Readers by discipline
Readers by discipline Count As %
Engineering 2 29%
Mathematics 1 14%
Nursing and Health Professions 1 14%
Computer Science 1 14%
Physics and Astronomy 1 14%
Other 1 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 21 November 2016.
All research outputs
#28,640,943
of 34,410,798 outputs
Outputs from Proceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences
#2,097
of 2,594 outputs
Outputs of similar age
#269,446
of 337,189 outputs
Outputs of similar age from Proceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences
#20
of 28 outputs
Altmetric has tracked 34,410,798 research outputs across all sources so far. This one is in the 9th percentile – i.e., 9% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,594 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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 337,189 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.