SpringerBriefs in Computer Science

Twitter Data Analytics

Authors: Kumar, Shamanth, Morstatter, Fred, Liu, Huan

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  • ISBN 978-1-4614-9372-3
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Softcover $69.99
price for USA in USD
  • ISBN 978-1-4614-9371-6
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About this book

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.

Table of contents (5 chapters)

Table of contents (5 chapters)

Buy this book

eBook $54.99
price for USA in USD
  • ISBN 978-1-4614-9372-3
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.99
price for USA in USD
  • ISBN 978-1-4614-9371-6
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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Bibliographic Information

Bibliographic Information
Book Title
Twitter Data Analytics
Authors
Series Title
SpringerBriefs in Computer Science
Copyright
2014
Publisher
Springer-Verlag New York
Copyright Holder
The Author(s)
eBook ISBN
978-1-4614-9372-3
DOI
10.1007/978-1-4614-9372-3
Softcover ISBN
978-1-4614-9371-6
Series ISSN
2191-5768
Edition Number
1
Number of Pages
X, 77
Number of Illustrations
26 b/w illustrations
Topics