| Title |
Link prediction using time series of neighborhood-based node similarity scores
|
|---|---|
| Published in |
Data Mining and Knowledge Discovery, February 2015
|
| DOI | 10.1007/s10618-015-0407-0 |
| Authors |
İsmail Güneş, Şule Gündüz-Öğüdücü, Zehra Çataltepe |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Unknown | 66 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 28% |
| Student > Master | 13 | 19% |
| Researcher | 4 | 6% |
| Student > Postgraduate | 4 | 6% |
| Student > Bachelor | 3 | 4% |
| Other | 11 | 16% |
| Unknown | 13 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 31 | 46% |
| Engineering | 9 | 13% |
| Mathematics | 3 | 4% |
| Social Sciences | 3 | 4% |
| Business, Management and Accounting | 2 | 3% |
| Other | 4 | 6% |
| Unknown | 15 | 22% |