PYTHON: Building and Distributing Packages with Distribute
Mining the Social Web: Finding Needles In The Social Haystack
Popular social networks such as Facebook, Twitter, and LinkedIn generate a tremendous amount of valuable social data. Who's talking to whom? What are they talking about? How often are they talking? Where are they at? This concise and practical book shows you how to answer these types of questions and more. Each chapter presents a soup-to-nuts approach that combines popular social web data, analysis techniques, and visualization so that you can find the needles you've been looking for as well as some of the ones you didn't even know to look for in the first place.
With Mining the Social Web, intermediate to advanced Python programmers will learn how to collect and analyze social data in way that lends itself to hacking as well as more industrial-strength analysis. The book is highly readable from cover to cover and tells a coherent story, but chapters of interest could just as easily be cherry-picked if you need to narrow in on a specific topic in a hurry.
* Get a concise and straightforward synopsis of the social web landscape so you know which 20% of the space to spend 80% of your time on
* Use easily adaptable scripts hosted on GitHub to harvest data from popular social network APIs including Twitter, Facebook, and LinkedIn
* Learn how to slice and dice social web data with easy to use Python tools as well as apply more advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detection
* Build interactive visualizations with easily adaptable web technologies built upon HTML5 and JavaScript toolkits