
Twitter Data Analytics
Springer (Publisher)
Published on 12. November 2013
Book
Paperback/Softback
X, 77 pages
978-1-4614-9371-6 (ISBN)
Description
This brief provides methods for harnessing Twitter data to discover solutions to complex inquiries. The brief introduces the process of collecting data through Twitter's APIs and offers strategies for curating large datasets. The text gives examples of Twitter data with real-world examples, the present challenges and complexities of building visual analytic tools, and the best strategies to address these issues. Examples demonstrate how powerful measures can be computed using various Twitter data sources. Due to its openness in sharing data, Twitter is a prime example of social media in which researchers can verify their hypotheses, and practitioners can mine interesting patterns and build their own applications. This brief is designed to provide researchers, practitioners, project managers, as well as graduate students with an entry point to jump start their Twitter endeavors. It also serves as a convenient reference for readers seasoned in Twitter data analysis.
More details
Series
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Illustrations
26 s/w Abbildungen
X, 77 p. 26 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 6 mm
Weight
149 gr
ISBN-13
978-1-4614-9371-6 (9781461493716)
DOI
10.1007/978-1-4614-9372-3
Schweitzer Classification
Other editions
Additional editions

Shamanth Kumar | Fred Morstatter | Huan Liu
Twitter Data Analytics
E-Book
11/2013
1st Edition
Springer
€53.49
Available for download
Content
Introduction.- Crawling Twitter Data.- Storing Twitter Data.- Analyzing Twitter Data.- Visualizing Twitter Data.