Data Science and Social Research

Beschreibung

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.

Applies methods and techniques of data science to the social sciences

Provides extensive examples of new (big) data use in the social sciences

Discusses epistemological consequences of new data on social sciences

Features a section on on-line data analysis

Autor*in

N. Carlo Lauro

Themen in »Data Science and Social Research«

data analysis in social sciences data science and social sciences data science new data textual analytics social network analysis epistemology of social sciences on-line data analysis off-line data analysis software and data architectures big data media research

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