Twitter : a digital socioscope
Machine generated contents note: Introduction: opportunities and challenges for online social research Michael Macy and Scott Golder; 1. Analyzing Twitter data Shamanth Kumar, Fred Morstatter and Huan Liu; 2. Political opinion Daniel Gayo Avello; 3. Socio-economic indicators Huina Mao; 4. Hyperlocal...
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| Weitere Verfasser: | , , |
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| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
New York, NY
Cambridge University Press
2015
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| Schlagworte: | |
| Online Zugang: | Inhaltsverzeichnis Cover |
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| Zusammenfassung: | Machine generated contents note: Introduction: opportunities and challenges for online social research Michael Macy and Scott Golder; 1. Analyzing Twitter data Shamanth Kumar, Fred Morstatter and Huan Liu; 2. Political opinion Daniel Gayo Avello; 3. Socio-economic indicators Huina Mao; 4. Hyperlocal happiness Daniele Quercia; 5. Public health Patty Kostkova; 6. Disaster monitoring Bella Robinson, Robert Power and Mark Cameron. "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"-- "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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| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | x, 173 Seiten Illustrationen, Diagramme |
| ISBN: | 1107500079 1-107-50007-9 9781107500075 978-1-107-50007-5 9781107102378 978-1-107-10237-8 |