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Data Science and Social Research

N. Carlo Lauro - Personal Name;

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) data in social research and related applications. Among others, the individual contributions cover topics like social media, learning analytics, clustering, statistical literacy, recurrence analysis and network analysis.

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Series Title: Studies in Classification, Data Analysis, and Knowledge Organization
Call Number: IX, 300
Publisher: Springer Cham : Springer Cham., 2017
Collation: -
Language: English
ISBN/ISSN: 978-3-319-55477-8
Classification: NONE
Content Type: text
Media Type: computer
Carrier Type: online resource
Edition: 1
Subject(s): Statistics for Social Sciences, Humanities
Specific Detail Info: -
Statement of Responsibility: N. Carlo Lauro

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Cataloger: Suwardi
Source: https://link.springer.com/book/10.1007/978-3-319-55477-8
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