Mining the Social Web: Unlocking the Data within Facebook, Twitter and Other Sites

Mining the Social Web: Unlocking the Data within Facebook, Twitter and Other Sites


By (author) Matthew A. Russell

List price $48.35

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  • Publisher: O'Reilly Media, Inc, USA
  • Format: Paperback | 358 pages
  • Dimensions: 178mm x 230mm x 20mm | 599g
  • Publication date: 15 February 2011
  • Publication City/Country: Sebastopol
  • ISBN 10: 1449388345
  • ISBN 13: 9781449388348
  • Edition: 1
  • Illustrations note: 1, black & white illustrations
  • Sales rank: 209,007

Product description

Facebook, Twitter, and LinkedIn generate a tremendous amount of valuable social data, but how can you find out who's making connections with social media, what they're talking about, or where they're located? This concise and practical book shows you how to answer these questions and more. You'll learn how to combine social web data, analysis techniques, and visualization to help you find what you've been looking for in the social haystack, as well as useful information you didn't know existed. Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools. * Get a straightforward synopsis of the social web landscape * Use adaptable scripts on GitHub to harvest data from social network APIs such as Twitter, Facebook, and LinkedIn * Learn how to employ easy-to-use Python tools to slice and dice the data you collect * Explore social connections in microformats with the XHTML Friends Network * Apply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detection * Build interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits "Let Matthew Russell serve as your guide to working with social data sets old (email, blogs) and new (Twitter, LinkedIn, Facebook). Mining the Social Web is a natural successor to Programming Collective Intelligence: a practical, hands-on approach to hacking on data from the social Web with Python." --Jeff Hammerbacher, Chief Scientist, Cloudera "A rich, compact, useful, practical introduction to a galaxy of tools, techniques, and theories for exploring structured and unstructured data." --Alex Martelli, Senior Staff Engineer, Google

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Author information

Matthew A. Russell is a computer scientist who currently lives in Franklin, TN. Hacking and writing are two activities essential to his renaissance man regimen.

Review quote

"Kurz gesagt: Das Buch ist einfach toll [...]." -, März 2011