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  • KOBV  (2)
  • Albert, Bill  (1)
  • Macy, Michael W.  (1)
  • ebrary, Inc
  • COMPUTERS / Social Aspects / General  (2)
  • Computer Science  (2)
  • 1
    Book
    Book
    New York : Cambridge University Press
    ISBN: 9781107102378 , 9781107500075
    Language: English
    Pages: X, 173 Seiten , Illustrationen, Diagramme
    DDC: 302.34072/7
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    Keywords: Twitter ; COMPUTERS / Social Aspects / General ; Sozialwissenschaften ; Dyadic data analysis (Social sciences) ; Online social networks Research ; Social sciences Research ; Methodology ; Webometrics ; COMPUTERS / Social Aspects / General ; Netzwerkanalyse ; Datenanalyse ; Twitter ; Aufsatzsammlung ; Aufsatzsammlung ; Aufsatzsammlung ; Aufsatzsammlung ; Aufsatzsammlung ; Aufsatzsammlung ; Aufsatzsammlung ; Twitter ; Netzwerkanalyse ; Datenanalyse
    Abstract: "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
    URL: Cover
    URL: Cover
    URL: Cover
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    ISBN: 9780080558264 , 0080558267
    Language: English
    Pages: 1 Online-Ressource (xvii, 317 Seiten) , Diagramme
    Series Statement: Morgan Kaufmann series in interactive technologies
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    DDC: 303.48/34
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    Keywords: COMPUTERS / Social Aspects / General ; User interfaces (Computer systems) ; User interfaces (Computer systems) / Measurement ; Measurement ; Technology assessment ; User interfaces (Computer systems) ; User interfaces (Computer systems) Measurement ; Measurement ; Technology assessment ; Mensch-Maschine-Schnittstelle ; Datenerhebung ; Bewertung ; Benutzerfreundlichkeit ; Mensch-Maschine-Kommunikation ; Mensch-Maschine-Kommunikation ; Benutzerfreundlichkeit ; Bewertung ; Datenerhebung ; Mensch-Maschine-Schnittstelle ; Benutzerfreundlichkeit ; Bewertung ; Datenerhebung
    Note: Effectively measuring the usability of any product requires choosing the right metric, applying it, and effectively using the information it reveals. Measuring the User Experience provides the first single source of practical information to enable usability professionals and product developers to do just that. Authors Tullis and Albert organize dozens of metrics into six categories: performance, issues-based, self-reported, web navigation, derived, and behavioral/physiological. They explore each metric, considering best methods for collecting, analyzing, and presenting the data. They provide step-by-step guidance for measuring the usability of any type of product using any type of technology. . Presents criteria for selecting the most appropriate metric for every case. Takes a product and technology neutral approach . Presents in-depth case studies to show how organizations have successfully used the metrics and the information they revealed , Includes bibliographical references and index
    URL: Volltext  (URL des Erstveröffentlichers)
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