Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites
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Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites

3.68 of 5 stars 3.68  ·  rating details  ·  88 ratings  ·  10 reviews
Want to tap the tremendous amount of valuable social data in Facebook, Twitter, LinkedIn, and Google+? This refreshed edition helps you discover who’s making connections with social media, what they’re talking about, and where they’re located. You’ll learn how to combine social web data, analysis techniques, and visualization to find what you’ve been looking for in the soc...more
Paperback, 356 pages
Published February 8th 2011 by O'Reilly Media (first published January 14th 2011)
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Brad Rice
I was given a free e-book and asked by O'Reilly to review it in exchange. I was excited for the opportunity since I think that having the ability to mine the social web is important. I was also happy that the author utilized Python as the programming language of choice to show how this is to be done. I have been using Python as a tool now for about a year and have found it to be my preferred server side scripting language for web app development. If you are a php, perl, ruby or java developer, I...more
The hardest part of learning a data analysis method is not in implementing the method, it is applying the method in the context of a real data problem. And data mining and machine learning texts often skirt the issue by using pre-processed data sets and problems defined to fit the method being taught. Russell uses analysis of social media sites to set a context where you start from having to gain access to real data sets, clean and transform the data into forms that your analytical libraries can...more
Just started with the book but it looks like an interesting read so far

Just started with the book but it looks like an interesting read so far

The topics for the book cover a wide range of data mining practices and the book seems like a great way to get into Python and Data Science.
Doug Lautzenheiser
This short book might have more appropriately been titled, "How I Personally Mined the Social Web using Python."

Without giving too much explanation, the author provides samples of his Python routines. Where another author might spend an entire chapter (if not the whole book) explaining a technological topic, Russell just makes a comment and moves on to his code examples. If you are comfortable with, "Install this, run that command, and now copy my code..." then this is an okay book.

This is bas...more
Wael Al-alwani
Excellent book.. its beauty lies in the loads of ideas it gives, efficient ways to implement them, and the tools it talks about. What this book lacks IMHO are the extra detailed discussions on why x approach was followed and what's the rationale behind that.. as one commenter said, the book has too many How's but few Why's.
Nicolas Morin
I don't usually enter tech books here, because I rarely read them from cover to cover. Bit this one I did. It's well written, comprehensive. My only caveat is the author's fondness with the heavy VM he uses for his examples...
Ricardo Costa
Good how-to start if you want to understand data mining in social networks.
Niyikiza Aimable
A great start for anyone interested in data mining. Basic python hacking skills required.
Gary Lang
A lot of interesting stuff to play with here. TBD: convert some of this to C#
A nice book about using NLP in social network.
Too much how and not enough why.
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