Review of trends related to social network analysis in the enterprise. Presented at the 2010 Catalyst Conference in San Diego, CA july 29, 2010. Presented with Mike Gotta, Gartner Group.
14. NodeXL Network Overview Discovery and Exploration add-in for Excel 2007 A minimal network can illustrate the ways different locations have different values for centrality and degree Diane has high degree Heather has high betweeness
15. Import from multiple social media network sources NodeXL: data providers for social media networks
16. NodeXL: Mapping connections among people who tweet “#CAT10” – July 27, 2010
17. NodeXL: Lists of most “between” users in “#CAT10” twitter population on July 26, 2010
18. NodeXL: Mapping connections among people who tweet “#CAT10” – July 29, 2010
19. NodeXL: Mapping connections among highly between people who tweet “#CAT10” – July 29, 2010
20. NodeXL: Mapping connections among most highly between people who tweet “#CAT10” – July 29, 2010
21. NodeXL: Lists of most “between” users in “#CAT10” twitter population on July 29, 2010
22. NodeXL: Mapping connections among highly between people who tweet “SCRM” – July 29, 2010
27. Forthcoming, Summer 2010 I. Getting Started with Analyzing Social Media Networks 1. Introduction to Social Media and Social Networks 2. Social media: New Technologies of Collaboration 3. Social Network Analysis II. NodeXL Tutorial: Learning by Doing 4. Layout, Visual Design & Labeling 5. Calculating & Visualizing Network Metrics 6. Preparing Data & Filtering 7. Clustering &Grouping III Social Media Network Analysis Case Studies 8. Email 9. Threaded Networks 10. Twitter 11. Facebook 12. WWW 13. Flickr 14. YouTube 15. Wiki Networks
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38. S o c i a l M e d I a R e s e a r c h F o u n d a t i o n Open Tools Open Data Open Scholarship http://smrfoundation.org
Notas do Editor
A tutorial on analyzing social media networks is available from: casci.umd.edu/NodeXL_Teaching Different positions within a network can be measured using network metrics.