Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More Second Edition

by Matthew A. Russell (Author)

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Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Instagram, GitHub, and More
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How can you tap into the wealth of social web data to discover who’s making connections with whom, what they’re talking about, and where they’re located? With this expanded and thoroughly revised edition, you’ll learn how to acquire, analyze, and summarize data from all corners of the social web, including Facebook, Twitter, LinkedIn, Google+, GitHub, email, websites, and blogs.

Employ the Natural Language Toolkit, NetworkX, and other scientific computing tools to mine popular social web sites
Apply advanced text-mining techniques, such as clustering and TF-IDF, to extract meaning from human language data
Bootstrap interest graphs from GitHub by discovering affinities among people, programming languages, and coding projects
Build interactive visualizations with D3.js, an extraordinarily flexible HTML5 and JavaScript toolkit
Take advantage of more than two-dozen Twitter recipes, presented in O’Reilly’s popular "problem/solution/discussion" cookbook format

The example code for this unique data science book is maintained in a public GitHub repository. It’s designed to be easily accessible through a turnkey virtual machine that facilitates interactive learning with an easy-to-use collection of IPython Notebooks.

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Editorial Reviews

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Mining the social web, again
When we first published "Mining the Social Web," I thought it was one of the most important books I worked on that year. Now that we're publishing a second edition (which I didn't work on), I find that I agree with myself. With this new edition, "Mining the Social Web" is more important than ever.
While we're seeing more and more cynicism about the value of data, and particularly "big data," that cynicism isn't shared by most people who actually work with data. Data has undoubtedly been overhyped and oversold, but the best way to arm yourself against the hype machine is to start working with data yourself, to find out what you can and can't learn. And there's no shortage of data around. Everything we do leaves a cloud of data behind it: Twitter, Facebook, Google+ -- to say nothing of the thousands of other social sites out there, such as Pinterest, Yelp, Foursquare, you name it. Google is doing a great job of mining your data for value. Why shouldn't you?
There are few better ways to learn about mining social data than by starting with Twitter; Twitter is really a ready-made laboratory for the new data scientist. And this book is without a doubt the best and most thorough approach to mining Twitter data out there. But that's only a starting point. We hear a lot in the press about sentiment analysis and mining unstructured text data; this book shows you how to do it. If you need to mine the data in web pages or email archives, this book shows you how. And if you want to understand how to people collaborate on projects, "Mining the Social Web" is the only place I've seen that analyzes GitHub data.
All of the examples in the book are available on Github. In addition to the example code, which is bundled into IPython notebooks, Matthew has provided a VirtualBox VM that installs Python, all the libraries you need to run the examples, the examples themselves, and an IPython server. Checking out the examples isr

About the Author

Matthew Russell, Chief Technology Officer at Digital Reasoning, Principal at Zaffra, and author of several books on technology including Mining the Social Web (O'Reilly, 2013), now in its second edition. He is passionate about open source software development, data mining, and creating technology to amplify human intelligence. Matthew studied computer science and jumped out of airplanes at the United States Air Force Academy. When not solving hard problems, he enjoys practicing Bikram Hot Yoga, CrossFitting and participating in triathlons.

Product details

Publisher ‏ : ‎ O'Reilly Media; Second edition (November 5, 2013)
Language ‏ : ‎ English
Paperback ‏ : ‎ 448 pages
ISBN-10 ‏ : ‎ 1449367615
ISBN-13 ‏ : ‎ 978-1449367619
Item Weight ‏ : ‎ 1.61 pounds
Dimensions ‏ : ‎ 7 x 0.94 x 9.19 inches

Best Sellers Rank: #1,384,554 in Books (See Top 100 in Books)
- #834 in Data Mining (Books)
- #909 in Social Media Guides
- #1,164 in Database Storage & Design

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Matthew A. Russell

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Matthew Russell (@ptwobrussell) is Chief Technology Officer at Digital Reasoning, Principal at Zaffra, and author of several books on technology including Mining the Social Web (O'Reilly, 2013), now in its second edition. He is passionate about open source software development, data mining, and creating technology to amplify human intelligence.

Matthew studied computer science and jumped out of airplanes at the United States Air Force Academy. When not solving hard problems, he enjoys practicing Bikram Hot Yoga, CrossFitting and participating in triathlons.

Customer reviews

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Top reviews from the United States

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Orange Monkey

The Book Re-Imagineered - and hands-on tech for the Non-Techie.

Reviewed in the United States on April 3, 2018

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AMAZING book - and as you can understand from other reviews, it's an re-imagineered idea of a 'book'. I won't reiterate as it's covered by other reviewers.

Only three additional comments:
1) I'm a NON-TECHIE (healthcare) and this book provides such clear guidance that I feel capable of putting it to use, with NO prior experience with, or knowledge of programming. The value of that is not that I'll start programming, however, I can think for myself when it comes to potential uses, limitations, possibilities, challenges for how I want to put this to use.

2) You should get the E-BOOK VERSION, not the paper copy as I did, as it'll automatically be up to date, which is crucial as this is an interactive book.

3) This book should be required reading for everyone. Why? We need informed customers when it comes to digital products, especially as related to the social web, to understand what it is that you are sharing - blindly for most of us. You're essentially allowing people into your house to go through your drawers and documents. There are situations were you might want that. However, be aware of the kind of access your authorizing and to whom.

Matthew A. Russell - wow, well done!

One person found this helpful

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chungking

Can't imagine a better organized resource

Reviewed in the United States on November 26, 2014

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This is more than a "book" - it is a course, and a very well thought through, well supported course at that.

The intro alone is more than worth the cost of admission - the easy installation of a VM saved me hours of dev ops headache I would have had to endure in my Python explorations. And it just gets better from there - everything is set up for the reader's convenience - just hit Ctrl-Enter and you're revealing the secrets of LinkedIn or Twitter or whatever.

The author clearly poured a lot of effort into his project, and it shows: this book sets a new standard for technical books (at least any technical books I've seen). If you have the slightest interest in the topic, check it out.

7 people found this helpful

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k polich

Great reference and clear, useful examples

Reviewed in the United States on November 8, 2014

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This is a great tour of the APIs provided by some of the larger social platforms, and helpful commentary about some of the data munging and analysis steps required to do something interesting. The clear and easy to follow examples are further enhanced through the accompanying virtual machine of the book, allowing you to escape the headache of installing, configuring, and selecting the right version of all the supporting software and libraries.

I also had the pleasure of interviewing Matthew Russell about this book on The Data Skeptic Podcast where we had the chance to have an interesting discussion about the book.

2 people found this helpful

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Phil Wheat

but it would have been good to know that it's non-trivial to set up the ...

Reviewed in the United States on September 3, 2014

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I'm just getting started, but it would have been good to know that it's non-trivial to set up the dev environment and that the Virtual Machine requires Oracle's VirtualBox which is incompatible (cannot be installed on the same computer) with the VM system I use (Hyper-V). It looks like the content is good, but it also seems like it will take some work to get started on it.

An addendum - SUPER fast support.

2 people found this helpful

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JGB_LAX

Overall a good resource. Gave me enough of a background that ...

Reviewed in the United States on November 29, 2014

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Overall a good resource. Gave me enough of a background that I could get a Twitter reader up and running, which I could then modify to do the specific task that I needed to do. A bit complex to set up the operating environment that the author recommends, but instructions were clear and I was able to get it to work without too much angst.

2 people found this helpful

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Brendon Unland

New Standard in Technical Books

Reviewed in the United States on November 8, 2013

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I have purchased just about every book available on social media data mining/ analytics, including the first edition of this book. What Matthew Russell has done with this second edition is amazing. With the purchase of this book, you get a fully functional virtual machine (available via download on GitHub.) As updates are made to the code for the book, you can easily pull them from GitHub. This eliminates the countless hours you spend downloading, configuring, troubleshooting, wondering if you got the right version of the needed software, etc. Within minutes you can read the book and type the code samples. Actually, the code is already there, you simply enter in some key values and watch the code run. You can then morph the code and see the effects of your changes.

Mining the Social Web is exceptionally well written covering all major social media platforms. Mr. Russell is also very approachable and answers questions very quickly.

I really can't say enough good things about this book and how it sets the bar high for future technical books!

19 people found this helpful

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Aaron Batilo

Awesomely focused book on such an annoying topic.

Reviewed in the United States on November 5, 2015

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If you've ever done work in data analysis or academic research of any kind, you'll know that gathering and managing your data to be in an acceptable format is what you do with most of your time. I love that Matthew A. Russell took the time to write a book specifically for working with the data available on social networks. If you ever do work with Natural Language Processing, where you need large amounts of text in order to get your research done, social networks are a fantastic place to get that. You can do amazing things with reading what's put on social networks for example trend analysis. I'm doing research now in NLP, and using what I learned in Mining the Social Web, I started collecting data from Twitter for me to perform my analysis on.

This book really gets you exactly what it says it does. You'll learn to work with the APIs for various social network websites. There's no extra cruft or fluff. You know exactly what you're getting and the book walks you through everything very cleanly at a very manageable pace.

2 people found this helpful

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Jason

Links Dont Work

Reviewed in the United States on October 21, 2018

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Links in the book do not work anymore, and you can not set up the virtual machine as well. This book has become out of date.

2 people found this helpful

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Arynth

Well-written but horribly out of date. Do not buy for practical application.

Reviewed in the United Kingdom on September 8, 2017

Verified Purchase

This is well-written, with good examples that were totally valid about 5 years ago. It's now horribly out-of-date and useless from a practical perspective. I would never have usually bought something so old when it comes to programming/dev but I stupidly assumed it was recent! Don't make the same mistake otherwise you'll end up looking at deprecated FQL queries when the Graph API is now on 2.10. Buy something else.

This would have received one star for the ageing had it not been for the writing style. Fun to read.

One person found this helpful

irene7

Really useful book, but If you don't need it immediately ...

Reviewed in the United Kingdom on January 18, 2018

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Really useful book, but If you don't need it immediately you should wait until the 3er edition is out

Amazon Customer

Item as described

Reviewed in the United Kingdom on August 5, 2018

Verified Purchase

Item as described

Ahmed Khalifa

I can not say how cool this book this

Reviewed in Canada on October 9, 2015

Verified Purchase

I can not say how cool this book this, it is actually drawing a big smile on my face as I go through it,
You will be in no time connecting to Twitter / FB and understanding a lot of concepts about the web.
The best value will come if you have had some time to familiarize yourself with Python and IPython/Notebooks.

Highly highly recommend.

Mr G. Noel

Bon ouvrage - un brin "livre de recettes"

Reviewed in France on September 28, 2014

Verified Purchase

Cet ouvrage propose de découvrir un bon nombre d'outils pour aller à la pèche des données sur les réseaux sociaux. Pas très théorique, plutôt axé sur la découverte des APIs.

Si vous voulez comprendre le pourquoi du comment, allez plutôt voir "Doing Data Science" chez O'Reilly. Si vous voulez mettre les mains dans le cambouis, cet ouvrage est fait pour vous.

2 people found this helpful

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