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Mendeley readers
Chapter title |
Influential Nodes in a Diffusion Model for Social Networks
|
---|---|
Chapter number | 91 |
Book title |
Automata, Languages and Programming
|
Published by |
Springer, Berlin, Heidelberg, July 2005
|
DOI | 10.1007/11523468_91 |
Book ISBNs |
978-3-54-027580-0, 978-3-54-031691-6
|
Authors |
David Kempe, Jon Kleinberg, Éva Tardos |
Mendeley readers
The data shown below were compiled from readership statistics for 556 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 23 | 4% |
France | 6 | 1% |
Australia | 4 | <1% |
Italy | 4 | <1% |
Switzerland | 4 | <1% |
United Kingdom | 4 | <1% |
China | 3 | <1% |
Iran, Islamic Republic of | 3 | <1% |
Portugal | 3 | <1% |
Other | 23 | 4% |
Unknown | 479 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 174 | 31% |
Student > Master | 107 | 19% |
Researcher | 69 | 12% |
Professor > Associate Professor | 37 | 7% |
Student > Doctoral Student | 35 | 6% |
Other | 85 | 15% |
Unknown | 49 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 288 | 52% |
Business, Management and Accounting | 54 | 10% |
Engineering | 51 | 9% |
Social Sciences | 37 | 7% |
Mathematics | 15 | 3% |
Other | 52 | 9% |
Unknown | 59 | 11% |