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books
| book details |
Data Science and Social Research: Epistemology, Methods, Technology and Applications
Edited by N. Carlo Lauro, Edited by Enrica Amaturo, Edited by Maria Gabriella Grassia, Edited by Biagio Aragona, Edited by Marina Marino
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| on special |
normal price: R 4,773.95
Price: R 4,535.95
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| book description |
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. This book presents selected papers from the international conference on Data Science & Social Research, held in Naples, Italy in February 2016, and will appeal to researchers in the social sciences working in academia as well as in statistical institutes and offices.
| product details |
Normally shipped |
Publisher | Springer International Publishing AG
Published date | 18 Nov 2017
Language |
Format | Paperback / softback
Pages | 300
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-3195-5476-1
Readership Age |
BISAC | social science / research
| other options |
Normally shipped |
Readership Age |
Normal Price | R 7,172.95
Price | R 6,813.95
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