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Data Science and Social Research Epistemology, Methods, Technology and Applications /

This edited volume lays the groundwork for Social Data Science, addressing epistemological issues, methods, technologies, software and applications of data science in the social sciences. It presents data science techniques for the collection, analysis and use of both online and offline new (big) da...

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Corporate Author: SpringerLink (Online service)
Other Authors: Lauro, N. Carlo. (Editor, http://id.loc.gov/vocabulary/relators/edt), Amaturo, Enrica. (Editor, http://id.loc.gov/vocabulary/relators/edt), Grassia, Maria Gabriella. (Editor, http://id.loc.gov/vocabulary/relators/edt), Aragona, Biagio. (Editor, http://id.loc.gov/vocabulary/relators/edt), Marino, Marina. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:Studies in Classification, Data Analysis, and Knowledge Organization,
Subjects:
Statistics .
Social sciences.
Epistemology.
Social policy.
Communication.
Sociology.
Statistics for Social Sciences, Humanities, Law.
Methodology of the Social Sciences.
Social Policy.
Statistics and Computing/Statistics Programs.
Media Research.
Online Access:https://doi.org/10.1007/978-3-319-55477-8

Internet

https://doi.org/10.1007/978-3-319-55477-8

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