Twitter: a digital socioscope
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 ele...
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| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2015
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| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 UBR01 UPA01 UBW01 URL des Erstveröffentlichers |
| Zusammenfassung: | 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 |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Beschreibung: | 1 online resource (x, 173 pages) |
| ISBN: | 9781316182635 |
| DOI: | 10.1017/CBO9781316182635 |
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| discipline | Allgemeines Informatik Soziologie |
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| spelling | Twitter a digital socioscope edited by Yelena Mejova, Qatar Computing Research Institute, Ingmar Weber, Qatar Computing Research Institute, Michael W. Macy, Cornell University, Itha, New York Cambridge Cambridge University Press 2015 1 online resource (x, 173 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) 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 Sozialwissenschaften Dyadic data analysis (Social sciences) Webometrics Social sciences / Research / Methodology Online social networks / Research Netzwerkanalyse Soziologie (DE-588)4205975-6 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Twitter Softwareplattform (DE-588)7660487-1 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Twitter Softwareplattform (DE-588)7660487-1 s Netzwerkanalyse Soziologie (DE-588)4205975-6 s Datenanalyse (DE-588)4123037-1 s 2\p DE-604 Macy, Michael W. 1948- (DE-588)171496345 edt Erscheint auch als Druckausgabe 978-1-107-10237-8 Erscheint auch als Druckausgabe 978-1-107-50007-5 https://doi.org/10.1017/CBO9781316182635 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Twitter a digital socioscope Sozialwissenschaften Dyadic data analysis (Social sciences) Webometrics Social sciences / Research / Methodology Online social networks / Research Netzwerkanalyse Soziologie (DE-588)4205975-6 gnd Datenanalyse (DE-588)4123037-1 gnd Twitter Softwareplattform (DE-588)7660487-1 gnd |
| subject_GND | (DE-588)4205975-6 (DE-588)4123037-1 (DE-588)7660487-1 (DE-588)4143413-4 |
| title | Twitter a digital socioscope |
| title_auth | Twitter a digital socioscope |
| title_exact_search | Twitter a digital socioscope |
| title_full | Twitter a digital socioscope edited by Yelena Mejova, Qatar Computing Research Institute, Ingmar Weber, Qatar Computing Research Institute, Michael W. Macy, Cornell University, Itha, New York |
| title_fullStr | Twitter a digital socioscope edited by Yelena Mejova, Qatar Computing Research Institute, Ingmar Weber, Qatar Computing Research Institute, Michael W. Macy, Cornell University, Itha, New York |
| title_full_unstemmed | Twitter a digital socioscope edited by Yelena Mejova, Qatar Computing Research Institute, Ingmar Weber, Qatar Computing Research Institute, Michael W. Macy, Cornell University, Itha, New York |
| title_short | Twitter |
| title_sort | twitter a digital socioscope |
| title_sub | a digital socioscope |
| topic | Twitter Sozialwissenschaften Dyadic data analysis (Social sciences) Webometrics Social sciences / Research / Methodology Online social networks / Research Netzwerkanalyse Soziologie (DE-588)4205975-6 gnd Datenanalyse (DE-588)4123037-1 gnd Twitter Softwareplattform (DE-588)7660487-1 gnd |
| topic_facet | Twitter Sozialwissenschaften Dyadic data analysis (Social sciences) Webometrics Social sciences / Research / Methodology Online social networks / Research Netzwerkanalyse Soziologie Datenanalyse Twitter Softwareplattform Aufsatzsammlung |
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