| Title |
Taxonomy of social network data types
|
|---|---|
| Published in |
EURASIP Journal on Information Security, August 2014
|
| DOI | 10.1186/s13635-014-0011-7 |
| Authors |
Christian Richthammer, Michael Netter, Moritz Riesner, Johannes Sänger, Günther Pernul |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 2% |
| Ireland | 1 | 2% |
| Unknown | 46 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 27% |
| Student > Master | 8 | 17% |
| Student > Doctoral Student | 5 | 10% |
| Researcher | 4 | 8% |
| Student > Bachelor | 3 | 6% |
| Other | 8 | 17% |
| Unknown | 7 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 17 | 35% |
| Social Sciences | 8 | 17% |
| Business, Management and Accounting | 7 | 15% |
| Economics, Econometrics and Finance | 1 | 2% |
| Psychology | 1 | 2% |
| Other | 5 | 10% |
| Unknown | 9 | 19% |