We a good story
Quick delivery in the UK

Data Science and Social Research

- Epistemology, Methods, Technology and Applications

About Data Science and Social Research

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.

Show more
  • Language:
  • English
  • ISBN:
  • 9783319554761
  • Binding:
  • Paperback
  • Pages:
  • 300
  • Published:
  • November 17, 2017
  • Edition:
  • 12017
  • Dimensions:
  • 155x235x0 mm.
  • Weight:
  • 646 g.
Delivery: 1-2 weeks
Expected delivery: November 28, 2024

Description of Data Science and Social Research

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.

User ratings of Data Science and Social Research



Find similar books
The book Data Science and Social Research can be found in the following categories:

Join thousands of book lovers

Sign up to our newsletter and receive discounts and inspiration for your next reading experience.