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 https://nodexl.codeplex.com/documentation
Researchers, academics, practitioners, and students in visual analytics, information visualization, HCI, web design, user experience design, information architecture, database administrators, data/Information analysts, information and enterprise architects, data warehouse and systems engineers
Preface Acknowledgments About the Authors Contributors I Getting Started With Analyzing Social Media Networks1. Introduction to Social Media and Social Networks 2. Social Media: New Technologies of Collaboration 3. Social Network Analysis: Measuring, Mapping, and Modeling Collections of Connections
II NodeXL Tutorial: Learning By Doing4. Getting Started with NodeXL, Layout, Visual Design, and Labeling 5. Calculating and Visualizing Network Metrics 6. Preparing Data and Filtering 7. Clustering and Grouping
III Social Media Network Analysis Case Studies8. Email: The Lifeblood of Modern Communication 9. Thread Networks: Mapping Message Boards and Email Lists 10. Twitter: Conversation, Entertainment, and Information, All in One Network! 11. Visualizing and Interpreting Facebook Networks 12. WWW Hyperlink Networks 13. Flickr: Linking People, Photos, and Tags 14. YouTube: Contrasting Patterns of Content, Interaction, and Prominence 15. Wiki Networks: Connections of Creativity and Collaboration
Appendix : NodeXL for Programmers Index
- No. of pages:
- © Morgan Kaufmann 2011
- 27th August 2010
- Morgan Kaufmann
- eBook ISBN:
- Paperback ISBN:
iSchool, CASCI Director, University of Maryland
Ben Shneiderman is a professor in the Department of Computer Science, head of the Human-Computer Interaction Laboratory, and member of the Institutes for Advanced Computer Studies and Systems Research at the University of Maryland, College Park. He is the author and coauthor of many books, technical papers, and textbooks.
Department of Computer Science, Founding Director of the HCI Lab, University of Maryland, Fellow of the ACM, SIGCHI Lifetime Achievement Award
Chief Social Scientist, Connected Action Consulting Group, http://www.connectedaction.net/
"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