full transcript

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

Unscramble the Blue Letters

And we tseted this idea with an outbreak of H1N1 flu at hrarvad College in the fall and winter of 2009, just a few months ago. We took 1,300 randomly selected undergraduates, we had them nominate their friends, and we followed both the rndoam students and their friends daily in time to see whether or not they had the flu epidemic. And we did this passively by looking at whether or not they'd gone to uvteiirnsy hatelh services. And also, we had them [actively] email us a couple of times a week. Exactly what we predicted henppaed. So the random group is in the red line. The epidemic in the friends group has shifted to the left, over here. And the difference in the two is 16 days. By monitoring the friends group, we could get 16 days advance winrnag of an impending edimipec in this human population.

Open Cloze

And we ______ this idea with an outbreak of H1N1 flu at _______ College in the fall and winter of 2009, just a few months ago. We took 1,300 randomly selected undergraduates, we had them nominate their friends, and we followed both the ______ students and their friends daily in time to see whether or not they had the flu epidemic. And we did this passively by looking at whether or not they'd gone to __________ ______ services. And also, we had them [actively] email us a couple of times a week. Exactly what we predicted ________. So the random group is in the red line. The epidemic in the friends group has shifted to the left, over here. And the difference in the two is 16 days. By monitoring the friends group, we could get 16 days advance _______ of an impending ________ in this human population.

Solution

  1. warning
  2. harvard
  3. epidemic
  4. random
  5. health
  6. happened
  7. university
  8. tested

Original Text

And we tested this idea with an outbreak of H1N1 flu at Harvard College in the fall and winter of 2009, just a few months ago. We took 1,300 randomly selected undergraduates, we had them nominate their friends, and we followed both the random students and their friends daily in time to see whether or not they had the flu epidemic. And we did this passively by looking at whether or not they'd gone to university health services. And also, we had them [actively] email us a couple of times a week. Exactly what we predicted happened. So the random group is in the red line. The epidemic in the friends group has shifted to the left, over here. And the difference in the two is 16 days. By monitoring the friends group, we could get 16 days advance warning of an impending epidemic in this human population.

Frequently Occurring Word Combinations

ngrams of length 2

collocation frequency
social networks 4
central individuals 4
impending epidemic 4
party host 4
early detection 3
random sample 3
human beings 2
social network 2
predict epidemics 2
human populations 2
lines represent 2
randomly chosen 2
early warning 2
human population 2
friendship paradox 2
flu epidemic 2
interpersonal influence 2
herd immunity 2
understand social 2
social processes 2
social phenomena 2

ngrams of length 3

collocation frequency
understand social processes 2

Important Words

  1. actively
  2. advance
  3. college
  4. couple
  5. daily
  6. days
  7. difference
  8. email
  9. epidemic
  10. fall
  11. flu
  12. friends
  13. group
  14. happened
  15. harvard
  16. health
  17. human
  18. idea
  19. impending
  20. left
  21. line
  22. monitoring
  23. months
  24. nominate
  25. outbreak
  26. passively
  27. population
  28. predicted
  29. random
  30. randomly
  31. red
  32. selected
  33. services
  34. shifted
  35. students
  36. tested
  37. time
  38. times
  39. undergraduates
  40. university
  41. warning
  42. week
  43. winter