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2010 Catalyst Conference - Trends in Social Network Analysis

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Marc Smith
Marc Smith

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.

Technologie
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Trends In Social Networking Thursday – 29 July, 2010 Mike Gotta Research VP Collaboration & Content [email_address]
 
Trends In Social Networking ,[object Object],[object Object],[object Object],[object Object],[object Object]
Trends In Social Networking ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Trends In Social Networking ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
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
http://connectedaction.net Enterprise Internet Social media network analysis
World Wide Web Each contains one or more social networks
Location, Location, Location
ecomm Network of connections among “ecomm” mentioning Twitter users Position, Position, Position
Network Overview, Discovery, and Exploration for Excel 2007 and 2010 Free and open code http://nodexl.codeplex.com
The NodeXL Project Team
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
Import from multiple social media network sources NodeXL: data providers for social media networks
NodeXL: Mapping connections among people who tweet “#CAT10” – July 27, 2010
NodeXL: Lists of most “between” users in “#CAT10” twitter population on July 26, 2010
NodeXL: Mapping connections among people who tweet “#CAT10” – July 29, 2010
NodeXL: Mapping connections among highly between people who tweet “#CAT10” – July 29, 2010
NodeXL: Mapping connections among most highly between people who tweet “#CAT10” – July 29, 2010
NodeXL: Lists of most “between” users in “#CAT10” twitter population on July 29, 2010
NodeXL: Mapping connections among highly between people who tweet “SCRM” – July 29, 2010
 
Social network analysis of email lists: highlight key roles
Social network analysis of 2007 US Senate voting network
Communities in Cyberspace
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 
SNA 101 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],E D F A C B H G I C D E A B D E
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Social Network Theory http://en.wikipedia.org/wiki/Social_network ,[object Object]
Distinguishing attributes of online social roles ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The State Of Social Network Analysis ,[object Object],[object Object],[object Object],[object Object]
The State Of Social Network Analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The State Of Social Network Analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The State Of Social Network Analysis ,[object Object],[object Object],[object Object]
Reference Materials ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
 
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

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2010 Catalyst Conference - Trends in Social Network Analysis

  • 1. Trends In Social Networking Thursday – 29 July, 2010 Mike Gotta Research VP Collaboration & Content [email_address]
  • 2.  
  • 3.
  • 4.
  • 5.
  • 6.  
  • 7. 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
  • 8. http://connectedaction.net Enterprise Internet Social media network analysis
  • 9. World Wide Web Each contains one or more social networks
  • 11. ecomm Network of connections among “ecomm” mentioning Twitter users Position, Position, Position
  • 12. Network Overview, Discovery, and Exploration for Excel 2007 and 2010 Free and open code http://nodexl.codeplex.com
  • 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
  • 23.  
  • 24. Social network analysis of email lists: highlight key roles
  • 25. Social network analysis of 2007 US Senate voting network
  • 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 
  • 28.
  • 29.
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  • 31.
  • 32.
  • 33.
  • 34.
  • 35.
  • 36.  
  • 37.  
  • 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

Notes de l'éditeur

  1. 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.
  2. CSCW 2004 - Analyzing Social CMC