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X Demographics
Mendeley readers
Chapter title |
SybilBlind: Detecting Fake Users in Online Social Networks Without Manual Labels
|
---|---|
Chapter number | 11 |
Book title |
Research in Attacks, Intrusions, and Defenses
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-00470-5_11 |
Book ISBNs |
978-3-03-000469-9, 978-3-03-000470-5
|
Authors |
Binghui Wang, Le Zhang, Neil Zhenqiang Gong, Wang, Binghui, Zhang, Le, Gong, Neil Zhenqiang |
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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 41 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 20% |
Student > Master | 7 | 17% |
Unspecified | 6 | 15% |
Researcher | 3 | 7% |
Student > Bachelor | 2 | 5% |
Other | 4 | 10% |
Unknown | 11 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 19 | 46% |
Unspecified | 6 | 15% |
Engineering | 3 | 7% |
Social Sciences | 1 | 2% |
Unknown | 12 | 29% |