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Data Science and Social Research - Epistemology, Methods, Technology and Applications (Paperback, 1st ed. 2017)
Loot Price: R4,479
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Data Science and Social Research - Epistemology, Methods, Technology and Applications (Paperback, 1st ed. 2017)
Series: Studies in Classification, Data Analysis, and Knowledge Organization
Expected to ship within 10 - 15 working days
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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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