Téléchargez le livre : Data Science and Social Research

Data Science and Social Research

Epistemology, Methods, Technology and Applications de

Éditeur :

Springer


Collection :

Studies in Classification, Data Analysis, and Knowledge Organization

Paru le : 2017-11-17

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Description

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.
Pages
300 pages
Collection
Studies in Classification, Data Analysis, and Knowledge Organization
Parution
2017-11-17
Marque
Springer
EAN papier
9783319554761
EAN PDF
9783319554778
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
30
Taille du fichier
7547 Ko
Prix
158,24 €

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