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Matthew A. Russell

computer scientist. Matthew A. Russell

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

ISBN-10

1449388345
ISBN-13

978-1449388348
Edition

1st
Publisher

O'Reilly Media
Publication date

February 11, 2011
Language

English
Dimensions

7 x 0.9 x 9.19 inches
Print length

356 pages
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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 11, 2011)
Language ‏ : ‎ English
Paperback ‏ : ‎ 356 pages
ISBN-10 ‏ : ‎ 1449388345
ISBN-13 ‏ : ‎ 978-1449388348
Item Weight ‏ : ‎ 1.26 pounds
Dimensions ‏ : ‎ 7 x 0.9 x 9.19 inches

Best Sellers Rank: #3,557,856 in Books (See Top 100 in Books)
- #1,549 in Data Mining (Books)
- #1,707 in Social Media Guides
- #5,821 in Software Development (Books)

Customer Reviews:
34 ratings

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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.
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H. Smith

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

The Industry Standard in Social Media Mining

Reviewed in the United States on May 8, 2014

Verified Purchase

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.

Helpful

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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Richard A Ricciardi

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

Helpful

Leif C. Ulstrup

Great guide to start building tools to analyze social media

Reviewed in the United States on February 12, 2011

Verified Purchase

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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T. M. Bergh

Good starting reference

Reviewed in the United States on April 17, 2013

Verified Purchase

Great book. I liked that the author jumps straight in, and assumes an appropriate reader intelligence and context.

The book provides enough material to base further forays on. Not 5 stars because each analysis thread is left hanging a little bit. The book is methodology and process heavy and too lightweight in outcomes.

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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Zanzamar

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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Mike

Good book but with outdated source code examples

Reviewed in the United Kingdom on February 6, 2013

Verified Purchase

On the whole, this is a great book.
Covers several topics and provides really valuable insights.

However, as I was working specifically with Twitter, the relevant chapter was not useful, since the provided examples are using the deprecated v1 of Twitter's API.

Besides that, it's definitely a good book.

Christoph Pingel

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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