ENGLISH

Twitter Data Analytics

Book information

Publisher
Springer-Verlag New York
Year
2014
ISBN
978-1-4614-9371-6, 978-1-4614-9372-3
DOI
10.1007/978-1-4614-9372-3
Language
english
Format
PDF
Filesize
2 MB (2161191 bytes)
Series
SpringerBriefs in Computer Science
Edition
1
Pages
77\85
Time added
2014-01-18 08:00:00

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.

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