| Title |
Influence spreading model used to analyse social networks and detect sub-communities
|
|---|---|
| Published in |
Computational Social Networks, November 2018
|
| DOI | 10.1186/s40649-018-0060-z |
| Pubmed ID | |
| Authors |
Vesa Kuikka |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 14% |
| Researcher | 2 | 14% |
| Other | 1 | 7% |
| Student > Ph. D. Student | 1 | 7% |
| Lecturer | 1 | 7% |
| Other | 2 | 14% |
| Unknown | 5 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 5 | 36% |
| Computer Science | 3 | 21% |
| Agricultural and Biological Sciences | 1 | 7% |
| Business, Management and Accounting | 1 | 7% |
| Unknown | 4 | 29% |