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Twitter: a Digital Socioscope by Yelena Mejova (2015, Hardcover)
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The book will be an excellent resource for social science students and researchers wanting to explore the use of online data. It is a reference for behavioral and social scientists who want to explore the use of online data in their research, and for non-professionals that follow the social impact of new technologies.
- Buy It NowTwitter: A Digital Socioscope by Michael W. Macy (English) Hardcover Book
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About this product
Product Identifiers
PublisherCambridge University Press
ISBN-101107102375
ISBN-139781107102378
eBay Product ID (ePID)205749668
Product Key Features
Number of Pages184 Pages
LanguageEnglish
Publication NameTwitter: a Digital Socioscope
SubjectWeb / Social Media, Methodology, Social Aspects / General, Research
Publication Year2015
TypeTextbook
Subject AreaComputers, Social Science
AuthorYelena Mejova
FormatHardcover
Dimensions
Item Height0.5 in
Item Weight14.8 Oz
Item Length9 in
Item Width6 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN2015-003326
Dewey Edition23
IllustratedYes
Dewey Decimal302.34072/7
Table Of ContentIntroduction: 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.
SynopsisThis book surveys how to use Twitter data to study human behavior and social interaction on a global scale. It is a reference for behavioral and social scientists who want to explore the use of online data in their research, and for non-professionals that follow the social impact of new technologies., 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.
LC Classification NumberHM533.5 .T95 2015
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