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This is a small project trying to predict the user reputations from Stackoverflow with regression models. It uses features derived from graph mining techniques, particularly graph centrality measures.

Dependencies

This project depends on graph-tool ([https://graph-tool.skewed.de/]) and keras.

Workflow

  1. Download Stackexchange dumps from [https://archive.org/details/stackexchange]
  2. Create graphs runnning extract.py from inside the Stack Exchange folder
  3. Create graph features running centrality.py
  4. Running analyse.py given a features file will create various singlevariate regressions as well asa multivariate regression and a neural network regression. It also tries to predict other networks with the learned regression model

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