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The Science of Influence and Networks - Paul Siegel

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This presentation by former Columbia University Professor of Mathematics Dr. Paul Siegel flips that focus on its head – with his charming avuncular style we will dive deep into networks: how they behave, how information and influence move between them and where Brandwatch is working, to the excitement of its clients.

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The Science of Influence and Networks - Paul Siegel

  1. 1. The Science of Influence and Networks DR PAUL SIEGEL/ DATA SCIENTIST
  2. 2. NOW YOU KNOW | #NYKCONF BRANDWATCH.COM
  3. 3. NOW YOU KNOW | #NYKCONF BRANDWATCH.COM
  4. 4. Networks
  5. 5. Leonhard Euler
  6. 6. Andrey Markov
  7. 7. Google
  8. 8. Influence
  9. 9. Influence: Contextual, not Absolute
  10. 10. NOW YOU KNOW | #NYKCONF BRANDWATCH.COM
  11. 11. NOW YOU KNOW | #NYKCONF BRANDWATCH.COM
  12. 12. Influence: Diffusion, not Infection
  13. 13. NOW YOU KNOW | #NYKCONF BRANDWATCH.COM
  14. 14. NOW YOU KNOW | #NYKCONF BRANDWATCH.COM
  15. 15. User’s Guide to Networks
  16. 16. Learn
  17. 17. Segment
  18. 18. NOW YOU KNOW | #NYKCONF BRANDWATCH.COM
  19. 19. BRANDWATCH.COM | #NYKCONF

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