Mining the Social Web Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More

ISBN-10: 1449367615

ISBN-13: 9781449367619

Edition: 2nd 2013

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Facebook, Twitter, LinkedIn, and Google+ generate a tremendous amount of valuable social data, but how can you find out who’s connecting with who, what they’re talking about, what friends they have in common, or where they’re located? This 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.In this expanded second edition you’ll learn how to:Create interest graphs for people by using GitHub’s rich set of APIs to mine social networksExplore Wikipedia contributions to build a social network of people who are interested in (or have expertise with) certain topicsLearn how to employ easy-to-use Python tools to slice and dice the data you collectGet a straightforward synopsis of the social web landscapeExplore social connections in microformats with the XHTML Friends NetworkApply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detectionBuild interactive visualizations with web technologies based upon HTML5 and JavaScript toolkitsAll you need to get started is a programming background and a willingness to learn basic Python tools.
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Book details

List price: $35.99
Edition: 2nd
Copyright year: 2013
Publisher: O'Reilly Media, Incorporated
Publication date: 10/20/2013
Binding: Paperback
Pages: 448
Size: 7.00" wide x 9.25" long x 1.00" tall
Weight: 1.584
Language: English

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.

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