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X Demographics
Mendeley readers
| Chapter title |
Studying Fake News via Network Analysis: Detection and Mitigation
|
|---|---|
| Chapter number | 3 |
| Book title |
Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining
|
| Published by |
Springer, Cham, September 2018
|
| DOI | 10.1007/978-3-319-94105-9_3 |
| Book ISBNs |
978-3-31-994104-2, 978-3-31-994105-9
|
| Authors |
Kai Shu, H. Russell Bernard, Huan Liu, Shu, Kai, Bernard, H. Russell, Liu, Huan |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 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 375 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 375 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 66 | 18% |
| Student > Ph. D. Student | 53 | 14% |
| Student > Bachelor | 36 | 10% |
| Researcher | 24 | 6% |
| Lecturer | 16 | 4% |
| Other | 57 | 15% |
| Unknown | 123 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 153 | 41% |
| Social Sciences | 32 | 9% |
| Engineering | 15 | 4% |
| Business, Management and Accounting | 9 | 2% |
| Arts and Humanities | 7 | 2% |
| Other | 26 | 7% |
| Unknown | 133 | 35% |