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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) 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.

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Detail Information
Название серии
-
Номер вызова
005
Издатель
Switzerland : Springer International Publishing.,
Сопоставление
-
Язык
English
ISBN/ISSN
978-3-319-55477-8
Классификация
005
Content Type
-
Media Type
-
Carrier Type
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Редакция
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Тема(ы)
Statistics
Social Science / Research
Social Science / Methodology
Sociology—Methodology
Social Science / Media Studies
Social sciences
Political Science / Public Policy / Social Policy
Social policy
Social Science / Statistics
Computers / Mathematical & Statistical Software
Knowledge
Theory of Mass media
Mathematical statistics—Data processing
Philosophy / Epistemology
Social sciences—Statistical methods
Big data -- Congresses
Communication
Data mining -- Congresses
Sociology
Специфические детали информации
-
Заявление об ответственности
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