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Public thesis defence: groups and reputation in social networks

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Public thesis defence: groups and reputation in social networks

  1. 1. Groups and Reputation in Social Networks V.A. Traag Promoteurs: Paul Van Dooren, Yurii Nesterov Jury: François Glineur Vincent Blondel Marco Saerens Patrick De Leenheer ICTEAM Université Catholique de Louvain 2 September 2013 Soutenance Publique
  2. 2. Overview Social Networks 1 2 Community Detection Reputation & Negative Links
  3. 3. Overview Social Networks 1 2 Community Detection Reputation & Negative Links
  4. 4. Social networks
  5. 5. Social networks
  6. 6. Social networks
  7. 7. Social networks
  8. 8. Social networks
  9. 9. Social networks
  10. 10. Social networks
  11. 11. Social networks
  12. 12. Social networks
  13. 13. Social networks
  14. 14. Social networks I did not analyse these
  15. 15. Keep it simple
  16. 16. Keep it simple
  17. 17. Keep it simple
  18. 18. Keep it simple
  19. 19. Keep it simple Node or Vertex
  20. 20. Keep it simple Link or Edge
  21. 21. Keep it simple Network or Graph
  22. 22. Overview Social Networks 1 2 Community Detection Reputation & Negative Links
  23. 23. Overview Social Networks 1 2 Community Detection Reputation & Negative Links
  24. 24. What is a community? 0 1 2 3 4 6 5 7 8 9 10 11 Community or Cluster
  25. 25. What is a community? 0 1 2 3 4 6 5 7 8 9 10 11 Community or Cluster But is it a good community?
  26. 26. What is a community? 0 1 2 3 4 6 5 7 8 9 10 11 Community or Cluster But is it a good community? Count links in community
  27. 27. What is a community? 0 1 2 3 4 6 5 7 8 9 10 11 Community or Cluster But is it a good community? Count links in community mc = 4
  28. 28. What is a community? 0 1 2 3 4 6 5 7 8 9 10 11 Community or Cluster But is it a good community? Count links in community mc = 4 Possible links?
  29. 29. What is a community? 0 1 2 3 4 6 5 7 8 9 10 11 Community or Cluster But is it a good community? Count links in community mc = 4 Possible links?

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