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Analyzing Social Media Networks with NodeXL: Insights from a Connected World Paperback – September 10, 2010

ISBN-13: 978-0123822291 ISBN-10: 9780123822291 Edition: 1st

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Product Details

  • Paperback: 304 pages
  • Publisher: Morgan Kaufmann; 1 edition (September 10, 2010)
  • Language: English
  • ISBN-10: 9780123822291
  • ISBN-13: 978-0123822291
  • ASIN: 0123822297
  • Product Dimensions: 10.8 x 8.4 x 0.6 inches
  • Shipping Weight: 1.9 pounds (View shipping rates and policies)
  • Average Customer Review: 4.9 out of 5 stars  See all reviews (19 customer reviews)
  • Amazon Best Sellers Rank: #209,165 in Books (See Top 100 in Books)

Editorial Reviews

Review

"Hansen, Shneiderman, and Smith, along with their collaborators, have written a readable introduction to the field of social media network analysis. Furthermore, the book is a nice tutorial on an interesting tool that readers can experiment with on their own. For example, the readers can simply use the Facebook application provided by Bernie Hogan, one of the book's collaborators, to analyze the ego networks that they know best: their own network of friends, family, and acquaintances. This book offers a sure way to understand some of the basic concepts of network analysis."--Computing Reviews

"This is a niche book that is also multi-discliplinary. NodeXL has involved experts in information studies, computer science, sociology, human-computer interaction and cultural studies and this book has contributions from researchers in all these fields and more. It is however highly practical and will motivate readers to use this tool for their own research."--I-Programmer.info

"The authors explore the applications of Microsoft's NodeXL, a free, open-source social network analysis (SNA) plug-in for use with Excel. It provides instant graphical representation of relationships of complex networked data, drawing on over 20 years of visual analytic theory and information visualization."--Usability News

From the Back Cover

Businesses, entrepreneurs, individuals, and government agencies alike are looking to social network analysis (SNA) tools for insight into trends, connections, and fluctuations in social media. Microsoft's NodeXL is a free, open-source SNA plug-in for use with Excel. It provides instant graphical representation of relationships of complex networked data. But it goes further than other SNA tools -- NodeXL was developed by a multidisciplinary team of experts that bring together information studies, computer science, sociology, human-computer interaction, and over 20 years of visual analytic theory and information visualization all into one tool that you can use. NodeXL is important if you are studying visual and network analytics and their real-world applications.

In Analyzing Social Media Networks with NodeXL, members of the NodeXL development team up to provide readers with a thorough and practical guide for using the tool while also explaining the development behind each feature.  

To learn more about Analyzing Social Media Networks and NodeXL, visit the companion site at www.mkp.com/nodexl

Customer Reviews

4.9 out of 5 stars
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It's concise, well written and helpful.
Sukru Tikves
The third part of the book provided information on analyzing particular types of social media networks.
John W. Graham
For the topic at hand, highly recommended.
Jill Florio

Most Helpful Customer Reviews

Format: Paperback Vine Customer Review of Free Product ( What's this? )
Intended to be an introduction and guide to the application of social network analysis (SNA) to the realm of social media, readers interested in how we can use methodologies of SNA and mathematical applications of graph and networking theory, to analyze the social media networks that form when individuals link-up or respond to each other, will want to purchase and study this book.

First, some background notes. This book has its roots in the work of an organization that has received generous funding support from Microsoft, called The Social Media Research Foundation. The Foundation has made significant progress in the development of open tools and open data sets for the purpose of encouraging open scholarship in the realm of social media and worked hard to develop tools that allow for better visualization and analysis of such widely used services as email, Wikis, Twitter, flickr, YouTube, Facebook, and the World Wide Web (WWW).

However, tracking content flowing through social media can be like trying to drink from an open fire hose. Realizing this, the Foundation began to focus resources and personnel on efforts to utilize ideas from the social sciences to follow the "social media swarm" of comments, favorites, product tags, ratings and links, in order to discern the key words, individuals and topics being communicated here and there. One of the tangible results of their work is the Foundation's release of a free and open product referred to as "NodeXL." The application itself is "a spreadsheet add-in," that is designed to support macro-views of networks for the purpose of "discovery and exploration." The Microsoft-funded research team built this tool to fit inside the user's copy of Excel in either Office 2007or 2010.

Does it work?
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11 of 11 people found the following review helpful By Dr Graham A Durant-Law CSC on October 30, 2010
Format: Paperback Verified Purchase
I've been using NodeXL , which is a plug-in for Excel, for some time now. It just keeps getting better and better, and has become one of my network analysis tools of choice and one of the tools we use in HyperEdge Pty Ltd . I therefore had no hesitation in pre-ordering "Analyzing Social Media Networks with NodeXL: Insights from a Connected World" by Derek Hansen, Ben Shneiderman, and Marc Smith. Undoubtedly this is one of the better network analysis books on the market, and I unreservedly give it five stars. It is all the more better because it provides a comprehensive tutorial over several chapters on how to get the best from NodeXL.

The book has 15 chapters organised into three sections. The first three chapters serve as an introduction to social network analysis and social media like Twitter, Flickr and Facebook - none of which I use. I particularly like the chapter structure, which is consistent throughout the book. Each chapter provides key definitions and themes and finishes with both a "Practitioner's Summary" and a "Researcher's Agenda" - this means one can skim the book and quickly locate personal interests. Chapter 3 is elegant in its definitions and summary of key network analysis concepts. I particularly liked the idea of `network nirvana':

. every vertex is visible;
. every vertex's degree is countable;
. every edge can be followed from source to destination; and
. clusters and outliers are identifiable.

Section 2 is called "NodeXL Tutorial: Learning By Doing" and consists of four chapters. These chapters are, in my opinion, the heart of the book. They cover all the key elements of using NodeXL for network analysis, including layout, labelling and metrics.
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7 of 7 people found the following review helpful By Amazon Customer on February 6, 2011
Format: Paperback
I purchased this book because I was interested in harvesting the data from my twitter, facebook, and other networking sources online, and the text made pulling that data and crafting beautiful graphs with it quick and easy. What surprised me, however, was how fascinating exploring this data was. With my Facebook network map, I found my friends naturally grouped into categories. With my Twitter map, I found key people in my social network who served as the glue keeping us together. I highly recommend this book, not just for these fun data-explorations, but also for a fantastic introduction into the world of Social Network Science, which is already extremely important in our increasingly networked world.
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3 of 3 people found the following review helpful By Angela M. Hey VINE VOICE on November 27, 2010
Format: Paperback Vine Customer Review of Free Product ( What's this? )
Learn how to analyze social networks with this book. The text is beautifully arranged so that any Excel user can analyze moderately sized social networks. NodeXL is a free add-in template for Excel that helps people visualize connections in social networks. It helps people understand who's powerful, who's well-connected and who's lacking friends. It can also show links between ideas and network tags, as illustrated in the section on Flickr.

Chapters start with an easy-to-read Introduction. They end with a Practitioner's Summary and a Researcher's Agenda that help readers understand the state-of-the-art.

The first three chapters clarify terminology and concepts, giving readers a common starting point. They don't get too technical (for example they don't use the word valency to describe a graph's node), but they provide enough terminology so that theoreticians and practitioners can grasp the essentials quickly. There are many facets of network analysis, from the pure mathematical to street maps to telecom networks and now to social networks, and the authors do a great job of laying out the fundamentals. There are plenty of references at the end of each chapter and Advanced Topics are highlighted in the text.

Chapters 4 to 7 deal explain NodeXL very well. I particularly like the colored diagrams that illustrate how to use Excel 2007 with the NodeXL template.

Section III has several contributed chapters that cover social networks created by services like Twitter, Flickr and YouTube. The examples I tried worked well and there are plenty of creative ideas for making graphs. The consistent style and format of each chapter makes the book easy to follow.

It is an ideal textbook for a college or high school course on social network analysis.
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