↓ Skip to main content

Hyperbolicity measures democracy in real-world networks

Overview of attention for article published in Physical Review E: Statistical, Nonlinear, and Soft Matter Physics, September 2015
Altmetric Badge

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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

blogs
1 blog
twitter
7 X users

Readers on

mendeley
35 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Hyperbolicity measures democracy in real-world networks
Published in
Physical Review E: Statistical, Nonlinear, and Soft Matter Physics, September 2015
DOI 10.1103/physreve.92.032812
Pubmed ID
Authors
Abstract

In this work, we analyze the hyperbolicity of real-world networks, a geometric quantity that measures if a space is negatively curved. We provide two improvements in our understanding of this quantity: first of all, in our interpretation, a hyperbolic network is "aristocratic", since few elements "connect" the system, while a non-hyperbolic network has a more "democratic" structure with a larger number of crucial elements. The second contribution is the introduction of the average hyperbolicity of the neighbors of a given node. Through this definition, we outline an "influence area" for the vertices in the graph. We show that in real networks the influence area of the highest degree vertex is small in what we define "local" networks (i.e., social or peer-to-peer networks), and large in "global" networks (i.e., power grid, metabolic networks, or autonomous system networks).

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Switzerland 2 6%
Luxembourg 1 3%
Italy 1 3%
United Kingdom 1 3%
Unknown 30 86%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 9 26%
Professor 6 17%
Student > Master 5 14%
Student > Ph. D. Student 4 11%
Student > Bachelor 3 9%
Other 5 14%
Unknown 3 9%
Readers by discipline
Readers by discipline Count As %
Computer Science 10 29%
Physics and Astronomy 8 23%
Mathematics 3 9%
Medicine and Dentistry 3 9%
Economics, Econometrics and Finance 2 6%
Other 3 9%
Unknown 6 17%
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 30 April 2023.
All research outputs
#4,574,177
of 34,567,073 outputs
Outputs from Physical Review E: Statistical, Nonlinear, and Soft Matter Physics
#1,026
of 24,740 outputs
Outputs of similar age
#46,560
of 311,826 outputs
Outputs of similar age from Physical Review E: Statistical, Nonlinear, and Soft Matter Physics
#19
of 406 outputs
Altmetric has tracked 34,567,073 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 24,740 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done particularly well, scoring higher than 95% 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 311,826 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 84% of its contemporaries.
We're also able to compare this research output to 406 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 95% of its contemporaries.