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Mendeley readers
Chapter title |
Detecting Anomalous Behaviors Using Structural Properties of Social Networks
|
---|---|
Chapter number | 47 |
Book title |
Social Computing, Behavioral-Cultural Modeling and Prediction
|
Published in |
Lecture notes in computer science, January 2013
|
DOI | 10.1007/978-3-642-37210-0_47 |
Book ISBNs |
978-3-64-237209-4, 978-3-64-237210-0
|
Authors |
Yaniv Altshuler, Michael Fire, Erez Shmueli, Yuval Elovici, Alfred Bruckstein, Alex (Sandy) Pentland, David Lazer |
Editors |
Ariel M. Greenberg, William G. Kennedy, Nathan D. Bos |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 3% |
Spain | 1 | 2% |
Poland | 1 | 2% |
Germany | 1 | 2% |
Unknown | 58 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 20 | 32% |
Student > Master | 10 | 16% |
Researcher | 7 | 11% |
Professor > Associate Professor | 6 | 10% |
Student > Bachelor | 4 | 6% |
Other | 16 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 30 | 48% |
Business, Management and Accounting | 5 | 8% |
Physics and Astronomy | 5 | 8% |
Social Sciences | 4 | 6% |
Agricultural and Biological Sciences | 2 | 3% |
Other | 11 | 17% |
Unknown | 6 | 10% |