Buy new:
$34.96$34.96
FREE delivery:
Tuesday, Jan 24
Ships from: Amazon.com Sold by: Amazon.com
Buy used: $25.95
Other Sellers on Amazon
+ $3.99 shipping
90% positive over last 12 months
Usually ships within 3 to 4 days.
Download the free Kindle app and start reading Kindle books instantly on your smartphone, tablet, or computer - no Kindle device required. Learn more
Read instantly on your browser with Kindle for Web.
Using your mobile phone camera - scan the code below and download the Kindle app.
Analyzing the Social Web 1st Edition
| Jennifer Golbeck (Author) Find all the books, read about the author, and more. See search results for this author |
| Price | New from | Used from |
- Kindle
$33.21 Read with Our Free App - Paperback
$25.95 - $34.969 Used from $25.95 11 New from $34.96
Enhance your purchase
- ISBN-100124055311
- ISBN-13978-0124055315
- Edition1st
- PublisherMorgan Kaufmann
- Publication dateMarch 26, 2013
- LanguageEnglish
- Dimensions7.5 x 0.66 x 9.25 inches
- Print length290 pages
![]() |
Frequently bought together

- +
Customers who bought this item also bought
Analyzing Social Media Networks with NodeXL: Insights from a Connected WorldDerek Hansen Ph.D. University of MichiganPaperback
Editorial Reviews
Review
"This…aims to integrate a number of approaches to social network analysis that have been proposed in a variety of disciplines, such as mathematics, computer science, sociology, and biology, to develop a unified framework…this is a nice introductory textbook for social network analysis, with lots of examples and use cases and a clear explanation of the basic concepts and techniques used in this field." --ComputingReviews.com, November 27, 2013
"Techniques from the natural sciences, social sciences, computer science and mathematics are used to describe and visualize social relationships and quantify connectedness. The utility of such analysis is then explored through case studies, pointing out both the potential malicious use of publicly shared information and pro-social uses of network analysis to combat online dangers." --Reference and Research Book News, October 2013
"…it is a carefully crafted explanation of the subject, made readable through the use of interesting and sometimes entertaining examples of applications to the social web…The book will be of interest to those seeking a largely non-mathematical introduction to network analysis, whether for application to the social web or not." --BCS.org, September 2013
"This is the first book that empowers students from across the disciplines to delve into the secrets of social networks. It is a pedagogic masterpiece in which Jen Golbeck demonstrates her research talent and dedication to teaching." --Jennifer J. Preece, Professor and Dean, College of Information Studies, University of Maryland
Review
From the Back Cover
About the Author
Product details
- Publisher : Morgan Kaufmann; 1st edition (March 26, 2013)
- Language : English
- Paperback : 290 pages
- ISBN-10 : 0124055311
- ISBN-13 : 978-0124055315
- Item Weight : 1.12 pounds
- Dimensions : 7.5 x 0.66 x 9.25 inches
- Best Sellers Rank: #966,317 in Books (See Top 100 in Books)
- #302 in Human-Computer Interaction (Books)
- #378 in User Experience & Website Usability
- #1,971 in Internet & Telecommunications
- Customer Reviews:
About the author

Jen Golbeck is a world leader in social media research and science communication. She began studying social media from the moment it emerged on the web a decade ago, and is one of the world’s foremost experts in the field. Her research has influenced industry, government and the military. She is a pioneer in the field of social data analytics, discovering people’s hidden attributes from their online behavior, and a leader in creating human-friendly security and privacy systems.
Her TED Talk, "The Curly Fry Connundrum", was named one of the most powerful talks of 2014 by TED.
In addition to her work as a professor at the University of Maryland, she writes for top online news organizations, including Slate and The Atlantic, and appears frequently on NPR and commercial talk radio.
She received an AB in Economics and an SB and SM in Computer Science at
the University of Chicago, and a Ph.D. in Computer Science from the
University of Maryland, College Park.
Customer reviews
Customer Reviews, including Product Star Ratings help customers to learn more about the product and decide whether it is the right product for them.
To calculate the overall star rating and percentage breakdown by star, we don’t use a simple average. Instead, our system considers things like how recent a review is and if the reviewer bought the item on Amazon. It also analyzed reviews to verify trustworthiness.
Learn more how customers reviews work on Amazon-
Top reviews
Top reviews from the United States
There was a problem filtering reviews right now. Please try again later.
The second perspective comes from the social world of anthropology, psychology, and business. Readers learn about different types of interpersonal relationships, the importance of trust and privacy, how information (and disease) spreads through networks, and how information can be summarized across connections to produce recommendations. There are several chapters on how different kinds of organizations use social media and that illustrate practical applications of the ideas introduced in the book. And there is a final summary chapter about the role social networking might play in a zombie apocalypse. Yeah. The author says she is surprised the publisher let her keep it in. But it works.
This is a well-written introductory text. It presents and elaborates key concepts without overwhelming the reader with too much technical detail. It provides references and links to more advanced material. It makes good use of the open-source Gephi network analysis tool, showing readers how to analyze their own Facebook and email connections. The author makes this easy by providing a lot of material on the book's web site--including a set of brief, focused video tutorials on the use of Gephi.
For anyone interested in social network analysis, this is a great place to start. Like the best college professors, the book teaches you what you need to know, helps you master and begin to apply it, and then points you onward to more advanced study. Nicely done. Readers might follow this book with Mining the Social Web , which takes a more technical approach, or with Network Graph Analysis and Visualization with Gephi which focuses on the software.
Unfortunately for me, the book is more abstract and introductory; for instance there is little guidance on how to actually obtain social network data to analyze.
If you are already familiar with social graphs, you may not learn much from this book. Moreover, it seems quite padded, with a lot of pages devoted merely to defining graph topology concepts. And there are lots of typos and pagination glitches. If the author and publisher didn't even deem this worth proof-reading thoroughly, who am I to call it a 4- or 5-star work?
Top reviews from other countries
Once it gets going in chapter 3, it appears that there is a lot of text that refers to the wrong graph [or some entirely different graph which does not appear in the text].
Looking forward to the errata list.
At least a good starting point if you want to dig into social network analysis. But it will not give you much new insights if you are already used to work in this area.
Il libro e' poco adatto a chi cerca un approccio matematico e formale all'argomento
事理に詳しく、多分野での利用にも対応しています。どことなくNodeXLでの分析を前提にしている感じがします。







