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Springer Data Science and Social Research Methods - Springer

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Description

This comprehensive guide bridges data science and social research, offering practical methods and techniques for applying computational approaches to social sciences. Featuring extensive real-world examples of big data applications, the book explores how new data sources are transforming social research practices. It examines the epistemological implications of integrating data science into social sciences, providing researchers with frameworks for understanding both opportunities and challenges. The volume includes dedicated sections on online data analysis, enabling readers to work with digital sources and modern datasets. Designed for academics, researchers, and practitioners in sociology, anthropology, and related fields, this work from Springer combines theoretical insights with actionable guidance for leveraging data science in social research contexts.

Key Features

Applies established data science methods and techniques directly to social sciences research and analysis.

Provides extensive examples demonstrating how new big data sources are being used across social science disciplines.

Discusses the epistemological consequences and theoretical implications of integrating data science into social research.

Features dedicated sections on online data analysis for working with digital and web-based data sources.

Published by Springer as part of the Studies in Classification, Data Analysis, and Knowledge Organization series.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
18 November 2017
Listed Since
09 February 2017

Barcode

No barcode data available

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