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Taxonomy of social network data types

Overview of attention for article published in EURASIP Journal on Information Security, August 2014
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Citations

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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

Mendeley readers

The data shown below were compiled from readership statistics for 47 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 45 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 28%
Student > Master 8 17%
Student > Doctoral Student 5 11%
Researcher 4 9%
Student > Bachelor 3 6%
Other 8 17%
Unknown 6 13%
Readers by discipline Count As %
Computer Science 17 36%
Social Sciences 8 17%
Business, Management and Accounting 7 15%
Economics, Econometrics and Finance 1 2%
Psychology 1 2%
Other 5 11%
Unknown 8 17%