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The risk of node re-identification in labeled social graphs

Overview of attention for article published in Applied Network Science, June 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)

Mentioned by

twitter
3 tweeters
Title
The risk of node re-identification in labeled social graphs
Published in
Applied Network Science, June 2019
DOI 10.1007/s41109-019-0148-x
Authors

Sameera Horawalavithana, Juan Arroyo Flores, John Skvoretz, Adriana Iamnitchi

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 14 June 2019.
All research outputs
#6,843,371
of 13,221,389 outputs
Outputs from Applied Network Science
#94
of 140 outputs
Outputs of similar age
#87,327
of 211,238 outputs
Outputs of similar age from Applied Network Science
#1
of 1 outputs
Altmetric has tracked 13,221,389 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 140 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. This one is in the 29th percentile – i.e., 29% 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 211,238 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them