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Web fragmentation a network analysis approach Gašper Koren, Matej Kovačič Faculty of Social Sciences, University of Ljubljana Zenel Batagelj CATI – Marketing, Media and Social Research & Consulting University of Ljubljana Faculty of social sciences
Internet as a Network ,[object Object],[object Object],Ideal examples for large  network analysis
Internet and its’ Users ,[object Object],[object Object],[object Object],[object Object],[object Object]
Internet Activities/Audience Measurement ,[object Object],[object Object],[object Object],2) User-centric approach ,[object Object],[object Object],[object Object]
Cookie-Pixel based technology Central (AD/Measurement)‏ Server Main Cookie-Pixel DATABASE Server B - Pixel ID: B Server C – Pixel ID: C Server A - Pixel ID: A
Web Meta-Data ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],TEST
WWW as Two-Mode Network Relation: User visiting Web Site Set 2 Web Sites Set 1 Visitors Complete Network of Web Sites Relation:   Common User of two Web Sites Complete Network Web Site Visitors Relation:   Visiting common Web site
 
Example:  WWW.Si Monitor ,[object Object],[object Object],[object Object],[object Object]
28 Verticies (Web Sites)‏
 
 
Web sites with more than 3,000 common users
Web sites with more than 5,000 common users
Web sites with more than 6,000 common users
Web sites with more than 12,000 common users
What else should be done? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Privacy issues ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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Web Fragmentation Network Analysis 40 Character Title

  • 1. Web fragmentation a network analysis approach Gašper Koren, Matej Kovačič Faculty of Social Sciences, University of Ljubljana Zenel Batagelj CATI – Marketing, Media and Social Research & Consulting University of Ljubljana Faculty of social sciences
  • 2.
  • 3.
  • 4.
  • 5. Cookie-Pixel based technology Central (AD/Measurement)‏ Server Main Cookie-Pixel DATABASE Server B - Pixel ID: B Server C – Pixel ID: C Server A - Pixel ID: A
  • 6.
  • 7. WWW as Two-Mode Network Relation: User visiting Web Site Set 2 Web Sites Set 1 Visitors Complete Network of Web Sites Relation: Common User of two Web Sites Complete Network Web Site Visitors Relation: Visiting common Web site
  • 8.  
  • 9.
  • 10. 28 Verticies (Web Sites)‏
  • 11.  
  • 12.  
  • 13. Web sites with more than 3,000 common users
  • 14. Web sites with more than 5,000 common users
  • 15. Web sites with more than 6,000 common users
  • 16. Web sites with more than 12,000 common users
  • 17.
  • 18.