Skip to content

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

License

Notifications You must be signed in to change notification settings

s-mishra/featuredriven-hawkes

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

24 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

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.

About

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

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published