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Mining The Social Web
Paperback Edition: 1/2013
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 visualisation 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 networks; explore Wikipedia contributions to build a social network of people who are interested in (or have expertise with) certain topics; learn how to employ easy-to-use Python tools to slice and dice the data you collect; get a straightforward synopsis of the social web landscape; 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 and build interactive visualisations with web technologies based upon HTML5 and JavaScript toolkits.
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Featured in the March 2014 Creative Enterprises Newsletter.
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Pages : 422
Publisher : O'Reilly
Publication date : 2013-10
Subjects: Non-fiction, Science And Technology, Computing And IT, Data Mining