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Books > Business & Money > Marketing & Sales > Marketing > Research > 0123822297
  1. Analyzing Social Media Networks with NodeXL: Insights from a Connected World
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  2. Analyzing Social Media Networks with NodeXL: Insights from a Connected World

    Delivery: 10-20 Working Days
    Customer Ratings (19 reviews)
    Price R759.00

Additional Information

Analyzing Social Media Networks with NodeXL offers backgrounds in information studies, computer science, and sociology. This book is divided into three parts: analyzing social media, NodeXL tutorial, and social-media network analysis case studies.

Part I provides background in the history and concepts of social media and social networks. Also included here is social network analysis, which flows from measuring, to mapping, and modeling collections of connections. The next part focuses on the detailed operation of the free and open-source NodeXL extension of Microsoft Excel, which is used in all exercises throughout this book. In the final part, each chapter presents one form of social media, such as e-mail, Twitter, Facebook, Flickr, and Youtube. In addition, there are descriptions of each system, the nature of networks when people interact, and types of analysis for identifying people, documents, groups, and events.

  • Walks you through NodeXL, while explaining the theory and development behind each step, providing takeaways that can apply to any SNA
  • Demonstrates how visual analytics research can be applied to SNA tools for the mass market
  • Includes case studies from researchers who use NodeXL on popular networks like email, Facebook, Twitter, and wikis
  • Download companion materials and resources at

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Morgan Kaufmann
Morgan Kaufmann
Morgan Kaufmann
Morgan Kaufmann
Most Helpful Customer Reviews

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... Read more
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... Read more
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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