full transcript
"From the Ted Talk by Nicholas Christakis: How social networks predict epidemics"

Unscramble the Blue Letters

Now, in addition to that, if you were an analyst who was trying to study an epidemic or to predict the adoption of a prudcot, for example, what you could do is you could pick a rdoanm splame of the population, also have them nominate their friends and follow the fidnres and follow both the randoms and the friends. Among the friends, the first enciedve you saw of a blip above zero in adoption of the innovation, for example, would be evidence of an impending epidemic. Or you could see the first time the two curves diverged, as shown on the left. When did the randoms — when did the friends take off and leave the randoms, and [when did] their curve start shifting? And that, as indicated by the white line, occurred 46 days before the peak of the epidemic. So this would be a technique whereby we could get more than a month-and-a-half warning about a flu epidemic in a particular population.

Open Cloze

Now, in addition to that, if you were an analyst who was trying to study an epidemic or to predict the adoption of a _______, for example, what you could do is you could pick a ______ ______ of the population, also have them nominate their friends and follow the _______ and follow both the randoms and the friends. Among the friends, the first ________ you saw of a blip above zero in adoption of the innovation, for example, would be evidence of an impending epidemic. Or you could see the first time the two curves diverged, as shown on the left. When did the randoms — when did the friends take off and leave the randoms, and [when did] their curve start shifting? And that, as indicated by the white line, occurred 46 days before the peak of the epidemic. So this would be a technique whereby we could get more than a month-and-a-half warning about a flu epidemic in a particular population.

Solution

  1. sample
  2. product
  3. random
  4. friends
  5. evidence

Original Text

Now, in addition to that, if you were an analyst who was trying to study an epidemic or to predict the adoption of a product, for example, what you could do is you could pick a random sample of the population, also have them nominate their friends and follow the friends and follow both the randoms and the friends. Among the friends, the first evidence you saw of a blip above zero in adoption of the innovation, for example, would be evidence of an impending epidemic. Or you could see the first time the two curves diverged, as shown on the left. When did the randoms — when did the friends take off and leave the randoms, and [when did] their curve start shifting? And that, as indicated by the white line, occurred 46 days before the peak of the epidemic. So this would be a technique whereby we could get more than a month-and-a-half warning about a flu epidemic in a particular population.

ngrams of length 2

collocation frequency
social networks 5
party host 4
impending epidemic 4
early detection 4
central individuals 4
random sample 3

Important Words

  1. addition
  2. adoption
  3. analyst
  4. blip
  5. curve
  6. curves
  7. days
  8. diverged
  9. epidemic
  10. evidence
  11. flu
  12. follow
  13. friends
  14. impending
  15. innovation
  16. leave
  17. left
  18. line
  19. nominate
  20. occurred
  21. peak
  22. pick
  23. population
  24. predict
  25. product
  26. random
  27. randoms
  28. sample
  29. shifting
  30. shown
  31. start
  32. study
  33. technique
  34. time
  35. warning
  36. white