https://github.com/networks-learning/lviv-2018
Dynamic Social Network Analysis at the Lviv Data Science Summer School
https://github.com/networks-learning/lviv-2018
hawkes
Last synced: 5 months ago
JSON representation
Dynamic Social Network Analysis at the Lviv Data Science Summer School
- Host: GitHub
- URL: https://github.com/networks-learning/lviv-2018
- Owner: Networks-Learning
- Created: 2018-07-18T11:36:15.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2019-07-18T11:32:12.000Z (over 6 years ago)
- Last Synced: 2025-04-23T17:39:13.520Z (11 months ago)
- Topics: hawkes
- Language: Jupyter Notebook
- Size: 392 KB
- Stars: 4
- Watchers: 4
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 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.