https://github.com/blmoistawinde/facetnet-python

An unofficial implementation in python3.6 for the paper: Facetnet: a framework for analyzing communities and their evolutions in dynamic networks
https://github.com/blmoistawinde/facetnet-python

Last synced: 3 months ago
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An unofficial implementation in python3.6 for the paper: Facetnet: a framework for analyzing communities and their evolutions in dynamic networks

• Host: GitHub
• URL: https://github.com/blmoistawinde/facetnet-python
• Owner: blmoistawinde
• License: mit
• Created: 2018-09-22T13:00:26.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2018-09-22T13:00:33.000Z (almost 7 years ago)
• Last Synced: 2025-03-27T23:02:19.555Z (3 months ago)
• Language: Python
• Size: 118 KB
• Stars: 17
• Watchers: 0
• Forks: 7
• Open Issues: 1
• Metadata Files:
  • Readme: readme.md
  • License: LICENSE

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README

        
## FacetNet-python

This is an unofficial implementation in python3.6 for the paper: Facetnet: a framework for analyzing communities and their evolutions in dynamic networks

`main.py`:  entrance of the program, containing 3 experiments on synthetic networks, can be run directly.

`util.py`: helper funtions of the program, including the **soft modularity** stated in the paper.

`synthetic.py`: codes for creating the synthetic networks, including the network mentioned in **part 4.1.2**.

Algorithm for both fixed and dynamic node numbers are implemented, but the one with varied community numbers is not, since I find it insufficient to implement with the information in the paper. Equation (9) and (10) would fail if the number of communities increases.