Data science and social research: epistemology, methods, technology and applications / N. Carlo Lauro, Enrica Amaturo, Maria Gabriella Grassia, Biagio Aragona, Marina Marino, editors.
2017
H62
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Title
Data science and social research: epistemology, methods, technology and applications / N. Carlo Lauro, Enrica Amaturo, Maria Gabriella Grassia, Biagio Aragona, Marina Marino, editors.
ISBN
9783319554778 (electronic book)
3319554778 (electronic book)
9783319554761
3319554778 (electronic book)
9783319554761
Publication Details
Cham : Springer International Publishing, 2017.
Language
English
Description
1 online resource (291 pages)
Call Number
H62
Dewey Decimal Classification
300.72
Summary
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.-- Provided by publisher.
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Studies in classification, data analysis, and knowledge organization.
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