Power Laws Popularity And Interestingness

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    Power Laws Popularity And Interestingness - Presentation Transcript

    1. ITEC, Klagenfurt University, Austria
    2. What is a Hype and Where Can I Get One? Mathias Lux [email_address] Department for Information Technology, Klagenfurt University, Austria
    3. What is this about …
      • Power Laws & Pareto Distributions
      • Just a Theory?
      • Conclusions
      ITEC, Klagenfurt University, Austria by betta_design http://www.flickr.com/photos/betta_design/2200198472/
    4. The Long Tail
      • Common for certain distributions
        • Zipf‘s Law
        • Power Law
        • Pareto Distribution
      • In Web 2 Context
        • Chris Anderson …
      ITEC, Klagenfurt University, Austria maitland 82 - http://www.flickr.com/photos/maitland82/346065497/
    5. Zipf‘s Law
      • Few events occur often, many occur rarely
        • P n ~ 1/n a ... Frequency of the n th ranked item, a close to 1.
      • Prominent examples
        • Ranking of words in documents
        • Ranking of cities and their size
        • Ranking of movies and sold cinema tickets
        • … and many more
      ITEC, Klagenfurt University, Austria
    6. Zipf‘s Law
      • Plot of the word frequency in Wikipedia
        • Most popular: the, of, and
      • from http://en.wikipedia.org/wiki/Zipf's_law
      ITEC, Klagenfurt University, Austria
    7. Pareto Distribution
      • 80:20 Rule
      • Economics
      • Continous (Zipf is discrete)
      • Practical issues
        • Time Management, …
      ITEC, Klagenfurt University, Austria
    8. Power Law
      • Made famous by Albert Barabasi
        • Scale free networks (web, power supply, …)
        • In-degree of web sites, etc.
      • Defines actually a class of distributions
        • f(x)=a*x^b + e
      • Pareto and Zipf are part of the group
      ITEC, Klagenfurt University, Austria
    9. How to detect a power law?
      • Simple empirical tests
        • Draw points on a log-log plot
        • Is it a „straight line“?
      ITEC, Klagenfurt University, Austria
    10. How to detect a power law?
      • Statistical Means
        • E.g. KS-Test, Chi-Square Test
        • Open research issue …
          • See e.g. Clauset, A., Shalizi, C.R., Newman, M.E.J.: Power-law distributions in empirical data. arXiv:0706.1062v1 (2007)
      ITEC, Klagenfurt University, Austria
    11. A note on plots … ITEC, Klagenfurt University, Austria Taken from phun.org, tnx to enzo nadrag
    12. A note on statistical means …
      • http://www.phun.org/newspics/funny_friday/2538.jpg tnx to Enzo Nadrag
      ITEC, Klagenfurt University, Austria
    13. Zipf, Pareto & Power Law: Conclusions
      • They emerge when people are involved
      • They have interesting characteristics
        • Mean has virtually no information
        • Area under the curve (cp. amazon’s long tail strategy)
      • Power laws emerge somehow …
        • Multiple generative models (preferntial attachement, memory kernels, etc.)
        • No one knows for sure
      ITEC, Klagenfurt University, Austria
    14. Is this just theory?
      • Basically: YES!
      • But there are related practical questions
        • Are you using Flickr?
          • How many “interesting” photos did you publish?
          • How many views do your photos have?
        • Imagine you publish a video on YouTube
          • What are the chances that your video is a big hit?
          • How to “help out” the process of getting a big hit?
          • Can one distinguish between hit or flop?
      ITEC, Klagenfurt University, Austria
    15. Is this just theory? (2)
      • More related practical questions
        • Do you have a website?
          • How to “flat out” resource popularity?
          • How select popular resources (e.g. for caching, adaptation, preprocessing)?
      ITEC, Klagenfurt University, Austria
    16. Big hits on YouTube ITEC, Klagenfurt University, Austria © 2007 by Aigner Thomas and Oraze Manuel
    17. Getting popular …
      • Starting with the first view (user)
      • Some other users find the same resource
      • They point other to it
        • Blogging, Digging, word of mouth
        • Multiplicator of information – cp. Metcalfe’s law
      • Number of views (users) “explodes”
      ITEC, Klagenfurt University, Austria
    18. Some graphs … ITEC, Klagenfurt University, Austria
      • Data from del.icio.us
      • Shows
      • bookmarks / day
      • relative user count
    19. Observations
      • There is an initial bend in the curve
      • The mean user # at the bend is rather small
        • Around 50
      • There are outliers
        • Google Video was doomed to be a success
      ITEC, Klagenfurt University, Austria
    20. Conclusions
      • If there is a bend …
        • Chances are better for a big hit.
      • Time is still an issue
        • Slow start, long vs. short hype, etc.
      • Resources without this bend:
        • Better Chances that they are shelf warmers
        • Decision support for portfolio adaptation
      ITEC, Klagenfurt University, Austria
    21. The Flickr way
      • Flickr defined “Interestingness”
        • Patented
        • combining views, comments, age, etc.
      • Interesting photos are presented
        • Users see new photos
        • Not all photos (2.000 new / minute, checked Feb. 1 2008, ~ 11.oo UTC)
        • They have no “big hit”
      ITEC, Klagenfurt University, Austria Kudos given to Horst Gutmann and Marian Kogler
    22. The YouTube way
      • Smaller resource data base than Flickr
        • Around 45 videos a day (65.000 a day)
      • But a lot more views (data Feb. 1st, 08)
        • 73.245.607 for „Evolution of Dance“
        • 20 most viewed have > 30M views
      • Not obvious counter strategy
        • Might not (yet) be necessary
      ITEC, Klagenfurt University, Austria
    23. Digg
      • Assumption: Diggs also follow a power law
        • Quite reasonable …
      • How to avoid the Digg- effect?
        • Digg has a mirror …
      ITEC, Klagenfurt University, Austria
    24. Thanks ...
      • ... for your
      • attention
      • You are interested?
      • Then talk to me …
      ITEC, Klagenfurt University, Austria by Gexydaf http://www.flickr.com/photos/gexydaf/2208215419/
    25. Mathias Lux
      • Affiliation
        • Klagenfurt University, ITEC
      • Contact
        • mathias @ juggle.at
        • http://www.semanticmetadata.net
      ITEC, Klagenfurt University, Austria

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