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Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites 1st Edition

by Matthew A. Russell (Author)
4.0 4.0 out of 5 stars 34 ratings
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Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Instagram, GitHub, and More
Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Instagram, GitHub, and More
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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 social haystack—as well as useful information you didn’t know existed.

Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools.

  • Get a straightforward synopsis of the social web landscape
  • Use adaptable scripts on GitHub to harvest data from social network APIs such as Twitter, Facebook, LinkedIn, and Google+
  • Learn how to employ easy-to-use Python tools to slice and dice the data you collect
  • Explore social connections in microformats with the XHTML Friends Network
  • Apply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detection
  • Build interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits

"A rich, compact, useful, practical introduction to a galaxy of tools, techniques, and theories for exploring structured and unstructured data."
--Alex Martelli, Senior Staff Engineer, Google

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  1. ISBN-10
    1449388345
  2. ISBN-13
    978-1449388348
  3. Edition
    1st
  4. Publisher
    O'Reilly Media
  5. Publication date
    February 1, 2011
  6. Language
    English
  7. Dimensions
    7.05 x 0.79 x 9.02 inches
  8. Print length
    332 pages
  9. See all details
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Editorial Reviews

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; 1st edition (February 1, 2011)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 332 pages
  • ISBN-10 ‏ : ‎ 1449388345
  • ISBN-13 ‏ : ‎ 978-1449388348
  • Item Weight ‏ : ‎ 1.28 pounds
  • Dimensions ‏ : ‎ 7.05 x 0.79 x 9.02 inches
  • Customer Reviews:
    4.0 4.0 out of 5 stars 34 ratings

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  2. 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.

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Customer reviews

4 out of 5 stars
4 out of 5
34 global ratings

Top reviews from the United States

Jeff
5.0 out of 5 stars Great book, which provides hours of experiments to run on your own social data
Reviewed in the United States on January 11, 2012
Verified Purchase
Mining the Social Web is one of those books that looks okay, but surprises and delights with each chapter. The author has constructed a very reasonable, step by step approach to learn new tools to analyze social network information. His examples are very detailed, easy to follow, and a lot of fun. I had no idea all the things that could be done with each social network.

If you've never programmed at all, this book can be a bit intimidating. I suggest reading it through first just to understand what can be done, and then to dive back in selectively to play with some code and tools he introduces you to when you know what most interests you. Given the arcania of the academic discourse about Big Data, graph databases, etc., the author has done a very good job of de-mystifying as well as de-jargoning. As a result, this book is widely accessible for a broad audience.

If you're interested in this topic, there is no better book to start with.
2 people found this helpful
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H. Smith
4.0 out of 5 stars pure fun
Reviewed in the United States on March 3, 2011
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Mining the Social Web does a great job of introducing a wide variety of techniques and wealth of resources for exploring freely available social data and personal information. If you are willing to spend the time tinkering with the examples, the book is pure fun. It offers a nice compliment to Segaran's  Programming Collective Intelligence: Building Smart Web 2.0 Applications . The two books overlap but where they do offer different perspectives and explanations of common techniques (e.g., TF-IDF, cosine similarity, Jaccard index). If you are well-versed in data mining the web you may find much of the discussion familiar. If you have only been casually engaged to date, your toolbox will fill quickly.

In order to work with the book's examples related to LinkedIn and Facebook you really need to have a robust collection of connections. In terms of the source code itself, most of it worked as is. I wasn't able to install the Buzz library which limited my interaction with material in chapter 7 and opted to not get involved with the LinkedIn or Facebook but found the discussions around them easy to follow. By far my favorite chapter in the book was chapter 8, "Blogs et al.: Natural Language Processing (and Beyond)..." It was quite fascinating and caused my reading list to grow considerably.
26 people found this helpful
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Andrew
5.0 out of 5 stars The Industry Standard in Social Media Mining
Reviewed in the United States on May 8, 2014
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In addition to reading the book (both versions) myself, and recommending it to others, this is truly the definitive work on "Mining the Social Web". This book not only set me on a path to professional social media mining myself, it also opened my eyes to the idea that software could be the key to unlocking one of the last great frontiers of man, big social data.

When originally attempting to enter this field, I found that I was overwhelmed with so many options in language, algorithm, business model, and catch phrase that I simply could not make progress. The beauty of this book is in its clear, concise progression from concept to concept that leaves the reader with a cohesive set of skills that are wildly marketable upon its completion.

The first friend I recommended this book to had almost no programming experience. 9 months later he landed a major deal mining social data for a major record label in Nashville.

Nuf said.
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Zanzamar
3.0 out of 5 stars Code doesn't work
Reviewed in the United States on March 27, 2012
Verified Purchase
The first examples of code just don't run. Twitter API seems to have changed a bit and the book isn't coping with that, they do have source code in their website but it's not all updated. Code isn't explained enough either for beginners to play with.
All the example codes I've tried so far had not worked.
10 people found this helpful
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Leif C. Ulstrup
5.0 out of 5 stars Great guide to start building tools to analyze social media
Reviewed in the United States on February 12, 2011
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I have not programmed for many years and was quickly able to follow the examples and build my own programs. The examples are well designed and the sequence pulls you in to try ever more interesting analysis. I had no idea it was so easy to extract and analyze this information from so many different social web sites. It is well written. It has inspired me to learn more about the tools that are out there and to keep experimenting with the examples from the book. I look forward to future works by this author.
One person found this helpful
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vickythakre
2.0 out of 5 stars Till now not a big "WOW" moment...
Reviewed in the United States on September 17, 2012
Verified Purchase
I have been doing Social Web analysis for quite a time and I had every hope to learn about it more from this book. Till now whatever the author has described is either freely available in the internet or have bugs while installing module...Sorry I am not a big Python fan but this was my resort to get hands dirty ....Will give 2 points just for sake ...
4 people found this helpful
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Richard A Ricciardi
4.0 out of 5 stars Very Helpful
Reviewed in the United States on March 13, 2019
Verified Purchase
I learned a lot and gathered valuable information. I suggest this book anyone lookin for information on social media and be well informed
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Apoorva Patel
5.0 out of 5 stars Great Primer
Reviewed in the United States on August 23, 2012
Verified Purchase
This is a wonderfully written book with a great deal of attention to detail. I was most impressed with: (a) the precision of examples and handling of exceptional cases (what might be different for you if you are a Windows users; where there is a bug in x library and how to get around it; etc.) and (b) references to additional material. There are quiet a few concepts and technologies to master if you are a beginner and the author does a great job of referencing hyperlinks where you can get additional latest materials.
One person found this helpful
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Christoph Pingel
3.0 out of 5 stars Miserabler Druck
Reviewed in Germany on December 24, 2011
Verified Purchase
Hab das Buch gerade bekommen und werde mich daher nicht zum Inhalt äußern (ich erwarte eine spannende Lektüre).

Was mich allerdings sehr ärgert, ist die miserable Druckqualität, die ich von O'Reilly so nicht gewohnt bin. Seitenweise ist das Schriftbild nicht schwarz, sondern grau bis hellgrau, kursive Typen sind z.T. nicht mal komplett gedruckt. Das macht keinen Spaß, man hat das Gefühl mit einer billigen Kopie zu arbeiten. Ich hoffe nicht, dass das ein Trend wird - O'Reilly hat sich ja den Ruf erarbeitet, Bücher zu machen, die inhaltlich *und* von der Produktion her tadellos sind. Wird zurückgeschickt mit der Bitte um ein Exemplar mit *schwarzer* Schrift.
5 people found this helpful
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