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Code used in `Supervised temporal link prediction in large-scale real-world networks'

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gerritjandebruin/temporal-link-prediction

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This repository provides the code used in a manuscript titled 'Supervised temporal link prediction in large-scale real-world networks'.

Temporal networks used in this study are downloaded from http://konect.cc/ or http://snap.stanford.edu.

The structure of the directories is as follows:

  • code: Contains all code that is not part of tlp package.
  • data: Folder where all downloads and intermediate results are stored.
  • teexgraph: External dependency to calculate the diameters and shortest path lengths in a network really fast. See .gitmodules.
  • tlp: Here most of my code resides. I import this folder as a package in most Jupyter Notebooks.
  • cleanup.sh: Clean up Python/ iPython cache folders.
  • environment.yml: Can be used to create Python environment with Conda.
  • install.sh: Install teexGraph.
  • spec-list.txt: Can be used to create exactly the same Python environment.