Your SlideShare is downloading. ×
A problem with the Long Tail
A problem with the Long Tail
A problem with the Long Tail
A problem with the Long Tail
A problem with the Long Tail
A problem with the Long Tail
A problem with the Long Tail
A problem with the Long Tail
A problem with the Long Tail
A problem with the Long Tail
A problem with the Long Tail
A problem with the Long Tail
A problem with the Long Tail
A problem with the Long Tail
A problem with the Long Tail
A problem with the Long Tail
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

A problem with the Long Tail

4,553

Published on

A talk by Chris Anderson at SciFoo (in Google) on whether the long tail a power law distribution or a lognormal distribution.

A talk by Chris Anderson at SciFoo (in Google) on whether the long tail a power law distribution or a lognormal distribution.

Published in: Technology, Business
0 Comments
5 Likes
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total Views
4,553
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
158
Comments
0
Likes
5
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide
  • Please read these notes to get a sense of what I’d be saying while talking through these slides. Needless to say, I talk a lot more than I’m writing here, but you’ll get the main points.
  • Transcript

    • 1. A problem with the Long Tail (Although an amazing number of things are powerlaws, a lot of things aren’t. How can you tell the difference?) (Read the text in the notes panel at the bottom for narration)
    • 2. A powerlaw
    • 3. Shown another way
    • 4. WTF?
    • 5. The Missing Market
    • 6. Source: Morris Rosenthal
    • 7.  
    • 8.  
    • 9. The problem
    • 10.  
    • 11.  
    • 12. Examples of phenomena that follow powerlaw distributions
      • Species distribution among plants
      • Square footage of Alaskan Inuit homes
      • Forest fires, by size
      • Cities, by population
      • Death toll in wars
      • Earthquakes
      • Word use
      • Number of papers published by scientists
    • 13. Examples of phenomena that follow lognormal distributions
      • Concentration of elements in the earth's crust
      • Latent periods of infectious diseases
      • Survival times after cancer diagnosis
      • Distribution of chemicals in the environment (including pollution)
      • Species distribution among moths and diatoms
      • Crystals in ice cream
      • Length of words in spoken conversation
    • 14. What’s the difference?
      • Powerlaws : created by “preferential attachment” in scale-free networks.
    • 15.
      • Lognormal distributions : created by "proportionate effects" (like growing by a proportion of your weight).
    • 16. Question
      • Assuming it all comes down to network effects, how can you predict whether the “natural shape” (free of bottlenecks and other scarcity distortions) is a powerlaw or a lognormal distribution?

    ×