- Additional Authors
- Description
- 1 online resource.
- Summary
- "How can Twitter data be used to study individual-level human behavior and social interaction on a global scale? This book introduces readers to the methods, opportunities, and challenges of using Twitter data to analyze phenomena ranging from the number of people infected by the flu, to national elections, to tomorrow's stock prices. Each chapter, written by leading domain experts in clear and accessible language, takes the reader to the forefront of the newly emerging field of computational social science. An introductory chapter on Twitter data analysis provides an overview of key tools and skills, and gives pointers on how to get started, while the case studies demonstrate shortcomings, limitations, and pitfalls of Twitter data as well as its advantages. The book will be an excellent resource for social science students and researchers wanting to explore the use of online data"--
- Subject
- Bibliography (note)
- Includes bibliographical references and index.
- Contents
- Analyzing Twitter data -- Political opinion -- Socio-economic indicators -- Hyperlocal happiness from Tweets -- Public health -- Disaster monitoring.
- ISBN
- OCLC
- 908633220
- Title
Twitter : a digital socioscope / [edited by] Yelena Mejova, Ingmar Weber, Michael Macy.
- Publisher
New York, NY : Cambridge University Press, 2015.
- Type of Content
text
- Type of Medium
computer
- Type of Carrier
online resource
- Bibliography
Includes bibliographical references and index.
- Connect to:
- Added Author
Macy, Michael W.
Mejova, Yelena, 1985-
Weber, Ingmar, 1978-
- Other Form:
Print version: Mejova, Yelena Twitter : A Digital Socioscope West Nyack : Cambridge University Press,c2015 9781107102378