↓ Skip to main content

One Plus One Makes Three (for Social Networks)

Overview of attention for article published in PLOS ONE, April 2012
Altmetric Badge

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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
3 news outlets
blogs
2 blogs
policy
1 policy source
twitter
52 X users
facebook
1 Facebook page
googleplus
13 Google+ users
reddit
1 Redditor

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
89 Mendeley
citeulike
4 CiteULike
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.
Title
One Plus One Makes Three (for Social Networks)
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0034740
Pubmed ID
Authors

Emöke-Ágnes Horvát, Michael Hanselmann, Fred A. Hamprecht, Katharina A. Zweig

Abstract

Members of social network platforms often choose to reveal private information, and thus sacrifice some of their privacy, in exchange for the manifold opportunities and amenities offered by such platforms. In this article, we show that the seemingly innocuous combination of knowledge of confirmed contacts between members on the one hand and their email contacts to non-members on the other hand provides enough information to deduce a substantial proportion of relationships between non-members. Using machine learning we achieve an area under the (receiver operating characteristic) curve (AUC) of at least 0.85 for predicting whether two non-members known by the same member are connected or not, even for conservative estimates of the overall proportion of members, and the proportion of members disclosing their contacts.

X Demographics

X Demographics

The data shown below were collected from the profiles of 52 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 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 6%
United Kingdom 4 4%
Germany 3 3%
Switzerland 2 2%
Mexico 2 2%
Norway 1 1%
Canada 1 1%
Australia 1 1%
France 1 1%
Other 1 1%
Unknown 68 76%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 27%
Researcher 13 15%
Student > Master 11 12%
Student > Bachelor 8 9%
Professor 6 7%
Other 18 20%
Unknown 9 10%
Readers by discipline Count As %
Computer Science 33 37%
Social Sciences 8 9%
Psychology 8 9%
Agricultural and Biological Sciences 6 7%
Medicine and Dentistry 5 6%
Other 18 20%
Unknown 11 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 107. 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 26 October 2020.
All research outputs
#386,781
of 25,193,883 outputs
Outputs from PLOS ONE
#5,467
of 218,525 outputs
Outputs of similar age
#1,700
of 166,767 outputs
Outputs of similar age from PLOS ONE
#77
of 3,713 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 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 218,525 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 97% 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 166,767 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 98% of its contemporaries.
We're also able to compare this research output to 3,713 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 97% of its contemporaries.