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README.md

Feature Driven and Point Process Approaches for Popularity Prediction

Code and Data for CIKM Paper Feature Driven and Point Process Approaches for Popularity Prediction

We also provide a tutorial for using hawkes process to model real cascades

Steps covered are as follows:

  • Plotting Memory function for the Social Kernel
  • Simmulating events from a Marked Hawkes Process
  • Modeling a retweet cascade with marked Hawkes Process
  • Using the model to make predictions of final size

All this is illustrated with the notebook file provided along with the rscripts.

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Code and Data for CIKM Paper Feature Driven and Point Process Approaches for Popularity Prediction

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