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Revealing the structure of the world airline network

Overview of attention for article published in Scientific Reports, July 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
2 news outlets
twitter
42 X users
googleplus
2 Google+ users

Citations

dimensions_citation
136 Dimensions

Readers on

mendeley
172 Mendeley
Title
Revealing the structure of the world airline network
Published in
Scientific Reports, July 2014
DOI 10.1038/srep05638
Pubmed ID
Authors

T. Verma, N. A. M. Araújo, H. J. Herrmann

Abstract

Resilience of most critical infrastructures against failure of elements that appear insignificant is usually taken for granted. The World Airline Network (WAN) is an infrastructure that reduces the geographical gap between societies, both small and large, and brings forth economic gains. With the extensive use of a publicly maintained data set that contains information about airports and alternative connections between these airports, we empirically reveal that the WAN is a redundant and resilient network for long distance air travel, but otherwise breaks down completely due to removal of short and apparently insignificant connections. These short range connections with moderate number of passengers and alternate flights are the connections that keep remote parts of the world accessible. It is surprising, insofar as there exists a highly resilient and strongly connected core consisting of a small fraction of airports (around 2.3%) together with an extremely fragile star-like periphery. Yet, in spite of their relevance, more than 90% of the world airports are still interconnected upon removal of this core. With standard and unconventional removal measures we compare both empirical and topological perceptions for the fragmentation of the world. We identify how the WAN is organized into different classes of clusters based on the physical proximity of airports and analyze the consequence of this fragmentation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 42 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 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 1%
United States 2 1%
United Kingdom 2 1%
Germany 1 <1%
Brazil 1 <1%
Portugal 1 <1%
Japan 1 <1%
India 1 <1%
Unknown 161 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 23%
Student > Master 28 16%
Researcher 18 10%
Student > Bachelor 12 7%
Professor 10 6%
Other 35 20%
Unknown 30 17%
Readers by discipline Count As %
Engineering 30 17%
Physics and Astronomy 22 13%
Computer Science 11 6%
Social Sciences 9 5%
Economics, Econometrics and Finance 9 5%
Other 44 26%
Unknown 47 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 46. 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 19 January 2023.
All research outputs
#898,822
of 25,193,883 outputs
Outputs from Scientific Reports
#9,469
of 138,505 outputs
Outputs of similar age
#8,457
of 232,304 outputs
Outputs of similar age from Scientific Reports
#50
of 849 outputs
Altmetric has tracked 25,193,883 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 138,505 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.7. This one has done particularly well, scoring higher than 93% 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 232,304 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 96% of its contemporaries.
We're also able to compare this research output to 849 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 94% of its contemporaries.