Saved in:
| Other Authors: | , , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Cambridge
Cambridge University Press
2015
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| Subjects: | |
| Links: | https://doi.org/10.1017/CBO9781316182635 |
| Summary: | 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. |
| Physical Description: | 1 Online-Ressource (x, 173 Seiten) |
| ISBN: | 9781316182635 |
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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-Ressource (x, 173 Seiten) txt c cr 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. Twitter. Macy, Michael W. Mejova, Yelena 1985- Weber, Ingmar 1978- Erscheint auch als Druck-Ausgabe 9781107102378 Erscheint auch als Druck-Ausgabe 9781107500075 |
| spellingShingle | Twitter a digital socioscope Twitter. |
| 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. |
| topic_facet | Twitter. |
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