818387688     

455272506                        

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Twitter : a digital socioscope / edited by Yelena Mejova, Qatar Computing Research Institute; Ingmar Weber, Qatar Computing Research Institute; Michael W. Macy, Cornell University, Ithaca, New York

Mejova, Yelena, 1985- [Herausgeberin/-geber] ; Weber, Ingmar, 1978- [Herausgeberin/-geber] ; Macy, Michael W., 1948- [Herausgeberin/-geber]

New York, NY : Cambridge University Press, 2015

x, 173 Seiten : Illustrationen, Diagramme

Englisch

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.

Includes bibliographical references and index

Erscheint auch als: Twitter (Online-Ausgabe)

1-107-50007-9 ; 978-1-107-50007-5 (paperback); 978-1-107-10237-8 (hardback)

978-1-316-18263-5 (ISBN der parallelen Ausgabe im Fernzugriff)

455272506

OCoLC: 911206971     

MS 7965  | AP 15965  | SR 850  | MS 5920      Ähnliche Literatur

HM533.5

302.34072/7

Basisklassifikation: 70.03 (Methoden, Techniken und Organisation der sozialwissenschaftlichen Forschung)

*Twitter <Softwareplattform> ; Big Data ; Empirische Sozialforschung ; Aufsatzsammlung      Zum Register

LOC-SH: Twitter ; Dyadic data analysis (Social sciences) ; Online social networks -- Research ; Social sciences -- Research -- Methodology ; Webometrics

"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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"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"--

 Inhaltsverzeichnis    Cover