Mining the Social Web: Analyzing Data from Social Media Sites

Facebook, Twitter, LinkedIn, Google+, and other social web properties generate a wealth of valuable social data, but how can you tap into this data and discover who’s connecting with whom, which insights are lurking just beneath the surface, and what people are talking about?

This book shows you how to answer these questions and many more. Each chapter combines popular and useful social web data with analysis techniques and visualization to help you find the needles in the social haystack that you've been looking for — as well as many you probably didn't even know existed.

Employ IPython Notebook and other easy to use Python packages such as the Natural Language Toolkit, NetworkX, and Matplotlib to efficiently sift through social web data as part of an experimentally-driven approach to discovering insights in social web data.

    Title Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites
    Author(s) Matthew A. Russell
    Publisher: O'Reilly Media; Second Edition edition (October 22, 2013)
    Hardcover/Paperback 400 pages (est.)
    Language: English
    ISBN-10: 1449367615
    ISBN-13: 978-1449367619
    eBook: http://chimera.labs.oreilly.com/books/1234000001583