Updated README.md to include an update about the book's new Facebook …

…Page at http://on.fb.me/hXY7jo

README.md

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 Feel free to submit pull requests if you uncover any bugs or come up with improvements you'd like to share with everyone, or file an issue here on GitHub if you need help with something. Feel free to also submit questions to [@SocialWebMining](http://twitter.com/SocialWebMining) on Twitter.
 
+# Connect
+
+Join the book's official Twitter account, [@SocialWebMining](http://twitter.com/SocialWebMining), or ["Like It" on Facebook](http://on.fb.me/hXY7jo) to keep up with news, speaking events, webinar announcements, additional content that will be published, occasional book giveaways, and more.
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 # Marketing Description
 
 ![cover_art!](https://github.com/ptwobrussell/Mining-the-Social-Web/raw/master/cover_art.jpg)
 
 [Mining the Social Web: Finding Needles In The Social Haystack](http://amzn.to/d1Ci8A)
 
-*Product Description* 
-
 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.