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Twitter: a digital socioscope / ed. by Yelena Mejova, Ingmar Weber and Michael W. Macy.

Contributor(s): Publication details: Cambridge: Cambridge University Press, 2015.Description: x, 173 p. illISBN:
  • 9781107500075 (paperback)
Subject(s): DDC classification:
  • 302.340 727 Q5
Online resources: 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"--
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books Books Mahatma Gandhi University Library General Stacks 302.340 727 Q5 (Browse shelf(Opens below)) Available 56689
Total holds: 0

Includes bibliographical references and index.

"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"--

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