Mining Online Data Across Social Networks

By | 22nd July 2017
Mining Online Data Across Social Networks

Mining Online Data Across Social Networks

Capturing Data, Modeling Patterns, Predicting Behavior. Capturing Data, Modeling Patterns, Predicting Behavior – Based on collecting more than 20 million blog posts and news media articles per day, Professor Jure Leskovec discusses how to mine such data to capture and model temporal patterns in the news over a daily time-scale –in particular, the succession of story lines that evolve and compete for attention. He discusses models to quantify the influence of individual media sites on the popularity of news stories and algorithms for inferring hidden networks of information flow.

Learn more: http://scpd.stanford.edu/

7 thoughts on “Mining Online Data Across Social Networks

  1. Steve Bailey

    Enlightening presentation – thanks. Where can I get the slidedeck ?

    Reply
  2. Siobahn339

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  3. Eyjolfur Kari

    Jure is obviously a soviet sleeper agent that will activate soon and go gome with the knowledge of how americans live…

    Reply
  4. Maribel Delos Reyes

    Data mine is useful and gaining knowledge can give an edge to a person how to use it…Thank you for sharing the info….

    Reply

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