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Item Details
| Title:
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DATA SCIENCE AND SOCIAL RESEARCH
EPISTEMOLOGY, METHODS, TECHNOLOGY AND APPLICATIONS |
| By: |
N. Carlo Lauro (Editor), Enrica Amaturo (Editor), Maria Gabriella Grassia (Editor) |
| Format: |
Paperback |
| List price:
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£119.99 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
331955476X |
| ISBN 13: |
9783319554761 |
| Publisher: |
SPRINGER INTERNATIONAL PUBLISHING AG |
| Pub. date: |
1 August, 2017 |
| Edition: |
1st ed. 2017 |
| Series: |
Studies in Classification, Data Analysis, and Knowledge Organization |
| Pages: |
300 |
| Synopsis: |
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. Data science is a multidisciplinary approach based mainly on the methods of statistics and computer science, and its aim is to develop appropriate methodologies for forecasting and decision-making in response to an increasingly complex reality often characterized by large amounts of data (big data) of various types (numeric, ordinal and nominal variables, symbolic data, texts, images, data streams, multi-way data, social networks etc.) and from diverse sources. |
| Illustrations: |
51 Illustrations, color; 26 Illustrations, black and white; IX, 300 p. 77 |
| Publication: |
Switzerland |
| Imprint: |
Springer International Publishing AG |
| Returns: |
Non-returnable |
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