Code and Data for CIKM Paper Feature Driven and Point Process Approaches for Popularity Prediction
Jupyter Notebook R
Permalink
Failed to load latest commit information.
code
data
.Rhistory
.gitignore
LICENSE
README.md

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.