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  • 1
    Book
    Book
    New York :Cambridge University Press,
    UID:
    almafu_BV042548344
    Format: X, 173 Seiten : , Illustrationen, Diagramme.
    ISBN: 978-1-107-10237-8 , 978-1-107-50007-5
    Content: "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"..
    Note: Literaturangaben
    Language: English
    Subjects: Computer Science , General works , Sociology
    RVK:
    RVK:
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    Keywords: Twitter ; Netzwerkanalyse ; Datenanalyse ; Aufsatzsammlung ; Aufsatzsammlung ; Aufsatzsammlung
    URL: Cover
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    gbv_883315106
    Format: 1 Online-Ressource (x, 173 Seiten)
    Edition: First published
    ISBN: 9781316182635
    Content: 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.
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015) , 6. Disaster monitoring , Introduction , 1. Analyzing Twitter data , 2. Political opinion , 3. Socioeconomic indicators , 4. Hyperlocal happiness from tweets , 5. Public health , 6. Disaster monitoring
    Additional Edition: ISBN 9781107500075
    Additional Edition: ISBN 9781107102378
    Additional Edition: ISBN 9781107500075
    Additional Edition: Erscheint auch als Druck-Ausgabe Twitter : a digital socioscope New York, NY : Cambridge University Press, 2015 ISBN 1107500079
    Additional Edition: ISBN 9781107500075
    Additional Edition: ISBN 9781107102378
    Additional Edition: Print version ISBN 9781107102378
    Language: English
    Subjects: Computer Science , General works , Sociology
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    RVK:
    RVK:
    RVK:
    Keywords: Twitter ; Big Data ; Empirische Sozialforschung ; Aufsatzsammlung
    URL: Volltext  (lizenzpflichtig)
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Online Resource
    Online Resource
    Cambridge :Cambridge University Press,
    UID:
    almafu_9960117192502883
    Format: 1 online resource (x, 173 pages) : , digital, PDF file(s).
    ISBN: 1-316-31094-9 , 1-316-29031-X , 1-316-18263-0
    Content: 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.
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015). , Introduction / , Analyzing Twitter data / , Political opinion / , Socioeconomic indicators / , Hyperlocal happiness from tweets / , Public health / , Disaster monitoring / , English
    Additional Edition: ISBN 1-107-50007-9
    Additional Edition: ISBN 1-107-10237-5
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    Online Resource
    Online Resource
    Cambridge :Cambridge University Press,
    UID:
    almahu_9948233714002882
    Format: 1 online resource (x, 173 pages) : , digital, PDF file(s).
    ISBN: 9781316182635 (ebook)
    Content: 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.
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015). , Introduction / , Analyzing Twitter data / , Political opinion / , Socioeconomic indicators / , Hyperlocal happiness from tweets / , Public health / , Disaster monitoring /
    Additional Edition: Print version: ISBN 9781107102378
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
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