Umfang:
1 Online-Ressource (x, 173 Seiten)
Ausgabe:
First published
ISBN:
9781316182635
Inhalt:
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.
Anmerkung:
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
Weitere Ausg.:
ISBN 9781107500075
Weitere Ausg.:
ISBN 9781107102378
Weitere Ausg.:
ISBN 9781107500075
Weitere Ausg.:
Erscheint auch als Druck-Ausgabe Twitter : a digital socioscope New York, NY : Cambridge University Press, 2015 ISBN 1107500079
Weitere Ausg.:
ISBN 9781107500075
Weitere Ausg.:
ISBN 9781107102378
Weitere Ausg.:
Print version ISBN 9781107102378
Sprache:
Englisch
Fachgebiete:
Informatik
,
Allgemeines
,
Soziologie
Schlagwort(e):
Twitter
;
Big Data
;
Empirische Sozialforschung
;
Aufsatzsammlung
DOI:
10.1017/CBO9781316182635
URL:
Volltext
(lizenzpflichtig)
