Social Computing, Behavioral-Cultural Modeling and Prediction
Springer, Cham
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Timeline
Mendeley readers
| Chapter title |
Identifying Users with Opposing Opinions in Twitter Debates
|
|---|---|
| Chapter number | 19 |
| Book title |
Social Computing, Behavioral-Cultural Modeling and Prediction
|
| Published by |
Springer, Cham, April 2014
|
| DOI | 10.1007/978-3-319-05579-4_19 |
| Book ISBNs |
978-3-31-905578-7, 978-3-31-905579-4
|
| Authors |
Ashwin Rajadesingan, Huan Liu |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| China | 1 | 2% |
| Brazil | 1 | 2% |
| Egypt | 1 | 2% |
| Unknown | 59 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 28% |
| Student > Master | 12 | 19% |
| Student > Doctoral Student | 5 | 8% |
| Other | 4 | 6% |
| Researcher | 3 | 5% |
| Other | 10 | 16% |
| Unknown | 12 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 29 | 45% |
| Social Sciences | 10 | 16% |
| Business, Management and Accounting | 5 | 8% |
| Nursing and Health Professions | 1 | 2% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 5 | 8% |
| Unknown | 13 | 20% |