The repository contains the code and partial released dumps of the paper.
All the required functions are present in the repository.
- Python 2.7.x To install the dependencies used in the code, you can use the requirements.txt file as follows -
pip install -r requirements.txt
First cd SpotCU
and then run:
bash prepare_and_test.sh
Fake followers and collusive users, and their footprints: (a) Fake followers only follow blackmarket customers (synchronous); (b) Collusive users follow both blackmarket customers and genuine users (asynchronous); (c) Fake followers cause few noticeable spikes at outdegree distribution, whereas collusive and genuine users show multiple small spikes.
User projection in the two-dimensional embedding space. We use t-SNE plot to visualize the space. We randomly sample 200 collusive users and 200 genuine users for visualization.