Twitter data analytics [electronic resource] / Shamanth Kumar, Fred Morstatter, Huan Liu.

Twitter data analytics [electronic resource] / Shamanth Kumar, Fred Morstatter, Huan Liu.

9781461493723 electronic book
1461493722 electronic book
9781461493716
1461493714

New York : Springer, 2014.

English

1 online resource (x, 77 pages) : illustrations.

10.1007/978-1-4614-9372-3 doi

QA76.9.D343

006.3/12

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.

Includes bibliographical references and index.

Access limited to authorized users.

Description based on online resource; title from PDF title page (SpringerLink, viewed November 18, 2013).

SpringerBriefs in computer science, 2191-5768

Original 9781461493716

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