Synopses & Reviews
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 into a simple tool anyone can use. This makes NodeXL of interest not only to end-users but also to researchers and students studying visual and network analytics and their application in the real world.
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. Blending the theoretical with the practical, this book applies specific SNA instructions directly to NodeXL, but the theory behind the implementation can be applied to any SNA.
To learn more about Analyzing Social Media Networks and NodeXL, visit the companion site at www.mkp.com/nodexl
*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
About the Author
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.
Chief Social Scientist, Connected Action Consulting Group, http://www.connectedaction.net/
Table of Contents
I. Getting Started with Analyzing Social Media Networks
- Introduction to Social Media and Social Networks
- Social media: New Technologies of Collaboration
- Social Network Analysis: Measuring, Mapping, and Modeling Collections of Connections
II. NodeXL Tutorial: Learning by Doing
4. 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 Studies
8. 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! - Scott Golder, Cornell University,Vladimir Barash, Cornell University 11. Visualizing and Interpreting Facebook Networks - Bernie Hogan, Oxford Internet Institute 12. WWW Hyperlink Networks - Robert Ackland, ANU 13. Flickr: Linking People, Photos, and Tags - Eduarda Mendes Rodrigues, Microsoft Research, Natasa Milic-Frayling, Microsoft Research 14. YouTube: Contrasting Patterns of Interaction and Prominence - Dana Rotman and Jennifer Golbeck 15. Wiki Networks: Connections of Creativity and Collaboration - Ted Welser, University of Maryland, Derek Hansen, University of Maryland Appendix- NodeXL for Programmers- Tony Capone