Implementation of "A cascade information diffusion based label propagation algorithm for community detection in dynamic social networks"

Team members:

1. Anuj Yadav
2. Nrittik Sarmah
3. Shashank Maurya
4. Chandrakanta Choudhury
5. Udit Talukdar

Dependencies/Packages

1. networkx
2. numpy
3. python-louvain
4. scikit-learn

Steps for running the algorithm:

1. Go inside the src folder in your terminal/Open your code editor inside the src folder.
2. To add a new dataset, go into the dataset folder and create a folder by the name of your dataset.
3. Add 2 files inside your dataset, t1.txt - for the edgeslist of the network at the 1st timestamp and input.txt - for the entire input of nodes, timestamps and the edgeslist of each timestamp.
4. Go to the project notebook, import coderunner and call run_cidlpa by passing in the name of your dataset.