B3Kat (1/1)
Twitter: a digital socioscope
Herausgeber: Mejova, Yelena <1985-> (DE-588)1075608163Herausgeber: Weber, Ingmar
Herausgeber: Macy, Michael W. <1948-> (DE-588)171496345
978-1-107-10237-8; 978-1-107-50007-5
Schlagwörter: Twitter <Softwareplattform> ; Netzwerkanalyse <Soziologie> ; Datenanalyse
Buch
(Services, Fernleihe und weitere eXtras)
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Bestand im KOBV:
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Letzte Änderung: 05.02.2018
MARC-Felder:
- Universitätsbibliothek Eichstätt-Ingolstadt - Zentralbibliothek und Teilbibliotheken in Eichstätt (Sigel: 824)
- Universitätsbibliothek Bamberg (Sigel: 473)
- Universitätsbibliothek Passau (Sigel: 739)
- Hochschule München, Bibliothek (Sigel: M 347)
- Bayerische Staatsbibliothek München (Sigel: 12)
- Universitätsbibliothek Regensburg (Sigel: 355)
Bestand im KOBV:
- Universitätsbibliothek der Humboldt-Universität zu Berlin (Sigel: 11)
- Universitätsbibliothek der Freien Universität Berlin (Sigel: 188)
Externe Links:
Fach:
- Allgemeines
- Informatik
- Soziologie
Permalink:
https://gateway-bayern.de/BV042548344
Letzte Änderung: 05.02.2018
Titel: | Twitter: a digital socioscope |
---|---|
URL: | http://assets.cambridge.org/97811071/02378/cover/9781107102378.jpg |
Erläuterung : | Cover image |
URL: | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=02798227... |
Erläuterung : | Inhaltsverzeichnis |
Von: | edited by Yelena Mejova, Ingmar Weber, Michael W. Macy |
LoC-Nummer: | 015003326 |
ISBN: | 978-1-107-10237-8 |
Preis/Einband: | Hardback |
ISBN: | 978-1-107-50007-5 |
Preis/Einband: | Paperback |
Erscheinungsort: | New York |
Verlag: | Cambridge University Press |
Erscheinungsjahr: | 2015 |
Umfang: | X, 173 Seiten |
Details: | Illustrationen, Diagramme |
Fußnote : | Literaturangaben |
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".. |
Sprache: | eng |
LoC-Notation: | HM533.5 |
RVK-Notation: | AP 15965 |
RVK-Notation: | MS 5920 |
RVK-Notation: | MS 7965 |
RVK-Notation: | SR 850 |
Angaben zum Inhalt/Datenträger : | Aufsatzsammlung |
Thema (Schlagwort): | Twitter; Netzwerkanalyse; Datenanalyse |
Weitere Schlagwörter : | |
Weitere Schlagwörter : | Sozialwissenschaften; Dyadic data analysis (Social sciences); Online social networks; Research; Social sciences; Research; Methodology; Webometrics; COMPUTERS / Social Aspects / General |
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520 | |a "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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650 | 7 | |a COMPUTERS / Social Aspects / General |2 bisacsh | |
650 | 4 | |a Sozialwissenschaften | |
650 | 4 | |a Dyadic data analysis (Social sciences) | |
650 | 4 | |a Online social networks |x Research | |
650 | 4 | |a Social sciences |x Research |x Methodology | |
650 | 4 | |a Webometrics | |
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700 | 1 | |a Mejova, Yelena |d 1985- |0 (DE-588)1075608163 |4 edt | |
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700 | 1 | |a Macy, Michael W. |d 1948- |0 (DE-588)171496345 |4 edt | |
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