- Paperback: 304 pages
- Publisher: Morgan Kaufmann; 1 edition (September 10, 2010)
- Language: English
- ISBN-10: 9780123822291
- ISBN-13: 978-0123822291
- ASIN: 0123822297
- Product Dimensions: 8.5 x 0.7 x 10.9 inches
- Shipping Weight: 1.9 pounds (View shipping rates and policies)
- Average Customer Review: 4.9 out of 5 stars See all reviews (21 customer reviews)
- Amazon Best Sellers Rank: #160,710 in Books (See Top 100 in Books)
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Analyzing Social Media Networks with NodeXL: Insights from a Connected World 1st Edition
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"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
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Top customer reviews
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. There is enough in the chapters to pique the interest of practitioners and academics alike, from beginner to advanced analyst. Again I like the elegance and accessibility for lay-people to some of the definitions. So much so that this text will become a standard inclusion in all my seminars and requires me to develop a NodeXL seminar and workshop!
The final section provides eight chapters, six of which are contributed by network researchers, and all of which provide case studies of network analysis using NodeXL. I found the chapter on email and lists of most interest, and commercially of most use, but from an academic perspective all the chapters are very interesting. The Twitter chapter was particularly enlightening, especially given I don't really see the value of Twitter - I'm rethinking that position at the moment! Similarly the Facebook chapter provided some interesting insights.
All in all this book was an excellent and easy read. Already my book is dog-eared and has lots of margin scribbles and highlights. I unreservedly give it five stars - five stars for readability and five stars for the learning by doing approach. It is a must-have book for every serious student and practitioner of network analysis. I can't wait for an e-book version, which I will buy immediately it is released.