Data Science and Social Research

Epistemology, Methods, Technology and Applications

Nonfiction, Social & Cultural Studies, Social Science, Statistics, Methodology
Cover of the book Data Science and Social Research by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319554778
Publisher: Springer International Publishing Publication: November 17, 2017
Imprint: Springer Language: English
Author:
ISBN: 9783319554778
Publisher: Springer International Publishing
Publication: November 17, 2017
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book The Political Economy of Agricultural Booms by
Cover of the book The Yeomanry Cavalry and Military Identities in Rural Britain, 1815–1914 by
Cover of the book Imperial Ladies of the Ottonian Dynasty by
Cover of the book Mathematics of Energy and Climate Change by
Cover of the book Periglacial Preconditioning of Debris Flows in the Southern Alps, New Zealand by
Cover of the book Steering Handbook by
Cover of the book Opportunistic Spectrum Sharing in Cognitive Radio Networks by
Cover of the book Geomorphology and Physical Oceanography of the Lakshadweep Coral Islands in the Indian Ocean by
Cover of the book Large-Scale Quantum-Mechanical Enzymology by
Cover of the book The Romance of Science: Essays in Honour of Trevor H. Levere by
Cover of the book Provable Security by
Cover of the book Research Advances in the Mathematical Education of Pre-service Elementary Teachers by
Cover of the book Foot Patrol by
Cover of the book Automated Driving by
Cover of the book Urban Resilience for Emergency Response and Recovery by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy