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
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
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