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Twitter Demographics
Mendeley readers
| Chapter title |
FaceWallGraph: Using Machine Learning for Profiling User Behaviour from Facebook Wall
|
|---|---|
| Chapter number | 11 |
| Book title |
Internet of Things, Smart Spaces, and Next Generation Networks and Systems
|
| Published by |
Springer, Cham, August 2019
|
| DOI | 10.1007/978-3-030-30859-9_11 |
| Book ISBNs |
978-3-03-030858-2, 978-3-03-030859-9
|
| Authors |
Aimilia Panagiotou, Bogdan Ghita, Stavros Shiaeles, Keltoum Bendiab, Panagiotou, Aimilia, Ghita, Bogdan, Shiaeles, Stavros, Bendiab, Keltoum |
Twitter Demographics
The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 2 | 15% |
| Student > Master | 2 | 15% |
| Student > Ph. D. Student | 1 | 8% |
| Lecturer > Senior Lecturer | 1 | 8% |
| Researcher | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 5 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 23% |
| Engineering | 2 | 15% |
| Business, Management and Accounting | 1 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 8% |
| Unknown | 6 | 46% |