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

Download File Size:5.01 MB

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