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Who are the most influential bloggers?

Jure Leskovec Machine Learning Department Carnegie Mellon University. Who are the most influential bloggers?. Question…. ?. = I have 10 minutes. Which blogs should I read to be most up to date? = Who are the most influential bloggers?. A single story propagates….

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Who are the most influential bloggers?

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  1. Jure Leskovec Machine Learning Department Carnegie Mellon University Who are the most influential bloggers?

  2. Question… ? = I have 10 minutes. Which blogs should I read to be most up to date? = Who are the most influential bloggers?

  3. A single story propagates… So, who is really the influential here? Obscure technology story Small tech blog Small tech blog Slashdot Wired What about multiple stories propagating?  Blogs New Scientist New York Times CNN BBC

  4. Blogs: Detecting big stories early Want to read things beforeothers do. Detect blue & green soon but miss red. • = Data: All posts from top 50,000 blogs for 2006 • = 60 million posts, 120 million links Detect all stories but late.

  5. Problem definition: Covering blogs = Given a budget (e.g., of 3 blogs) = Select blogs to cover the most of the blogosphere? = Bad news: Solving this exactly is NP-hard = Good news: Theorem: Our algorithm can do it in linear timeand with factor 3 approximation Blogosphere

  6. Experimental results • Which blogs to read to be most up to date? www.blogcascades.org Our solution % of stories detected(higher is better) In-links (used by Technorati) Out-links # posts Random Number of selected blogs

  7. Jure Leskovec www.blogcascades.org So, who is influential?What should I read?

  8. Same problem: Water Network • Given: • a real city water distribution network • data on how contaminants spread over time • Place sensors (to save lives) • Problem posed by the US Environmental Protection Agency c1 S S c2

  9. [w/ Ostfeld et al., J. of Water Resource Planning] Water network: Results CELF • Our approach performed bestat the Battle of Water Sensor Networks competition Degree Random Population saved (higher is better) Population Flow Number of placed sensors

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