| Title |
Guest editorial: special issue on data mining technologies for computational social science
|
|---|---|
| Published in |
Data Mining and Knowledge Discovery, June 2012
|
| DOI | 10.1007/s10618-012-0271-0 |
| Authors |
Fei Wang, Hanghang Tong, Phillip Yu, Charu Aggarwal |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 5% |
| Unknown | 20 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 33% |
| Researcher | 3 | 14% |
| Student > Master | 3 | 14% |
| Student > Postgraduate | 2 | 10% |
| Student > Bachelor | 2 | 10% |
| Other | 4 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 52% |
| Environmental Science | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Economics, Econometrics and Finance | 1 | 5% |
| Decision Sciences | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 4 | 19% |