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Dynamic Social Network Analysis at the Lviv Data Science Summer School

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Dynamic Social Network Analysis Course at LVIV-DSSS-2018

This is the material for the course about machine learning for dynamic social network analysis held at the Lviv Data Science Summer School 2018.

Requirements

  • pip install -r requirements.txt

Hawkes

Here, we model recurring user activities with the help of Hawkes Processes.

You will need to implement one function (sampleHawkes) in the file simPointProcess.py. The file may be run in an interactive console and is self explanatory.

Redqueen

Here, we perform smart broadcasting with the help of stochastic optimal control.

You will need to implement several functions in the file opt_model.py. The README file inside the redqueen subfolder contains additional information.

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Dynamic Social Network Analysis at the Lviv Data Science Summer School


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Language:Jupyter Notebook 68.3%Language:Python 31.7%