Facebook, Twitter, and LinkedIn social generate large amounts of valuable data, but how can you find out who makes the connection with social media, what are they? Back to talk about, or where they? Back on? You will learn how to incorporate social web data, technical analysis, and visualization to help you find what you're looking for in a haystack social, as well as useful information that you did not know existed. Get a synopsis of the web directly from the social landscape of Use scripts to adapt to harvest data from the API Github social networks like Twitter, Facebook, and LinkedIn Learn how to use easy to use tools to slice and dice Python data you collect social Explore connections in microformats with XHTML Friends Network Apply advanced mining techniques such as TF-IDF cosine similarity, collocation methods of analysis, document summarization, and click Build detection interactive visualization with a web-based technology in HTML5 and JavaScript toolkits "Data from different social Web: network and text, not tables and figures, is the rule, and the familiar query language is replaced with a fast growing web service API Social Web Mining is a natural successor for Programming Collective Intelligence:. a practical, hands-on approach to hacking the data from the social Web with Python. "