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implementation of an activity-driven time-varying network model with a peer influence mechanism
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model
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README.md
activity_potential_dist_example.ipynb
gt_impl_example.ipynb
python_impl_example.ipynb
requirements.txt

README.md

README

This repository contains two implementations of the model that is described in the paper From calls to communities: a model for time varying social networks by Laurent et al.. It takes the original approach of a activity-driven network model by Perra et al. and adds three additional mechanisms:

  1. a reinforcement process to model memory-driven interaction dynamics
  2. focal and cyclic closure to capture patterns responsible for emerging community structures
  3. a node removal process

Note that the model implemented here additionally includes a peer influence mechanism, which was the introduced in my Master’s thesis.

additional requirements

  • graph-tool
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